WeAreDevelopers Congress Vienna
Agenda

28.11.-29.11.19

Days
2

Developers
2,000+

Speakers
60+

Workshops
25+

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Cloud Computing
Artificial Intelligence
Blockchain
Internet of Things
07:30
08:00
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11:30
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12:30
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14:30
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16:30
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18:00
Main Stage
Main Stage
Registration
07:30 - 09:30

Congress Opening

Next-generation technologies
09:45 - 10:30
Tanmay Bakshi
Artificial Intelligence
09:45 - 10:30
Main Stage

Next-generation technologies: developers to users and developers to developers

Theme: Artificial Intelligence

Machine learning technology is helping make the lives of millions worldwide simpler, safer, more enjoyable, and overall better. Developers are at the heart of this change in how we use technology. However, there are some fields where this technology makes more impact than others, and my passion lies in, and I think it makes most sense to apply this technology in healthcare, education, and development! In my keynote, I'll be showcasing and demoing a few of my projects in these fields. Particularly, I'd like to show off the flexibility of machine learning, and how developers can not only apply it to create better applications, but to make their own lives easier as well.

Tanmay Bakshi

AI expert at age 15, IBM Cloud Advisor

Tanmay Bakshi is a 15 year-old Canadian author, AI/Machine Learning expert, TED and keynote speaker, Honorary IBM Cloud Advisor, and a media personality who has addressed over 200,000 executives, leaders, intellectuals, and developers at international conferences, universities, and multinationals worldwide. His passion to develop algorithms and to work with machine learning lead him to apply this tech mainly in the fields of education and healthcare. His goal is to help at least 100,000 aspiring coders in learning how to code and innovate through his books, workshops and seminars. Tanmay’s YouTube channel called “Tanmay Teaches” and his consistent work towards his goal for the past 8 years has earned him numerous recognitions such as Knowledge Ambassador Award, IBM Champion for Cloud, Google Developer Expert for Machine Learning, Twilio Doer award, and Global Goodwill Ambassador at Linkedin, to name a few.

Break

From on-premise to the cloud
10:45 - 11:30
Marcus Granström
Cloud Computing
10:45 - 11:30
Main Stage

From on-premise to the cloud - Why Klarna moved everything to the cloud and how we have gained speed and momentum by doing it.

Theme: Cloud Computing

Two years ago we decided to move everything to the Cloud. In his keynote, Marcus Granstörm, Senior Director Engineering at Klarna, will elaborate on the learnings and the winnings of moving everything to the cloud. How speed played a monumental role in this and how DevOps takes the central stage in this.

Marcus Granström

Senior Director of Engineering, Klarna

Marcus Granström is a Senior Engineering Director at Klarna, one of the world's leading payment providers. Klarna provides merchants with a flexible range of preferred payment alternatives that enable consumers to easily and securely pay when and how they want everywhere – online and in-store. Klarna currently holds a post money valuation of $5.5 billion, which ranks Klarna as the largest private fintech in Europe and one of the largest private fintechs globally.
Granström leads a large number of teams building the Products and Tools that consumers and merchants love. Having been with Klarna for almost five years Marcus has seen most of what Klarna has to offer and have been part of the journey to grow from a 200 engineering department to one that is 1200+.

Break

Testing smarter, not harder with AI
11:45 - 12:30
Gerta Sheganaku
Artificial Intelligence
11:45 - 12:30
Main Stage

Testing smarter, not harder with AI – a realistic overview of what is possible today

Theme: Artificial Intelligence

To meet the quality needs and challenges of a fast-paced future driven by ever shorter release cycles and trends like IoT and robotics, our testing approaches need to match up. Continuous Testing is currently bridging the gap between development and operations, but we are fast approaching a time when Continuous Testing will be unable to keep pace with shrinking delivery cycle times, increasing technical complexity, and accelerating rates of change. AI, imitating intelligent human behavior for machine learning and predictive analytics, can help us to overcome these challenges. In this talk, we will highlight application areas in which AI can help across different stages of the software quality lifecycle, from test design, redundancy prevention, and defect detection, up to finding and steering the right controls and providing a resilient test automation. We will discuss the areas in which we are already using basic forms of AI and what is still to come in the field of software quality assurance. We need to continue the testing evolution in order to achieve the efficiency needed for testing of robotics, IoT, and similar trends. We will give a realistic perspective of what can and cannot be achieved in the near future and will discuss how we can make use of advanced algorithms like automated test portfolio optimization, self-adjusting risk assessment, automated defect diagnosis, or smart environment provisioning, which may still lack the self-learning component to be classified as AI, but can help bridge the gap between the current state of continuous testing and a future state of AI-based testing.

Gerta Sheganaku

Digital Transformation Strategist, Tricentis

Gerta started her career early on during her studies of computer science at TU Vienna. As a project manager for process automation projects she developed the vision and roadmap for production data analytics and predictive maintenance solutions for industry customers. She initiated and led a cross-organizational R&D project funded by the Vienna Business Agency, focusing on quality analysis of manufacturing processes, and presented their work in the context of recent IT market trends at industry.tech15, the Austrian symposium on Industry 4.0.
Gerta currently works as a Digital Transformation Strategist at Tricentis, an Austrian unicorn startup with solutions for Test Automation, Test Management, and Robotic Process Automation. She helps her customers develop strategies from a people, process and tooling perspective to make testing a key enabler for their digital transformation journey.

Lunch Break
12:30 - 13:15

Lunch Break
12:30 - 13:15

The Fake News Arms Race
13:15 - 13:45
Or Levi
Artificial Intelligence
13:15 - 13:45
Main Stage

The Fake News Arms Race: How AI Can Create – and Detect – Fakes

Theme: Artificial Intelligence

Recent advancements in AI have made powerful content-manipulation tools - that can create realistic images and videos - accessible to the public. Deep-Fakes have already undermined trust in democracy, incited violence and damaged the reputation of brands and individuals. This has motivated the research of technologies that can catch the fakes, such as AdVerif.ai. In this session, Or Levi - Founder of AdVerif.ai, will take us through the emerging Fake News arms race, between “Bad AI” for generating fakes and “Good AI” for detecting them. Learn how AI can help fight Fake News with a spectrum of tools, ranging from Machine Vision for detecting manipulated images to Natural Language Processing for identifying psycho-linguistic features, and data pipelines for Deep Learning at the scale of billions of items.

Or Levi

Data Science Team Lead, eBay

Through his work as a Senior Data Scientist at ebay, Or aims to help users find the items they are looking for and get inspired by ebay’s unique selection, whether it’s on the search results page, or the homepage feed, using personalized and relevant recommendations. In the last year, he received the ebay Excellence in Innovation Award and authored the first ever paper at ebay Classifieds Group to be accepted to an ACM conference.
Or’s strongest passion is using AI for social impact, which has led him to found AdVerif.ai – with the purpose of fighting the spread of misinformation online. It was recently named among CB Insights’ 2019 International Game Changers – startups with potential to transform society and economies for the better.

Break

Data-Driven Process Optimisation at Mondi
14:00 - 14:30
Jillian Augustine
Internet of Things
14:00 - 14:30
Main Stage

Data-Driven Process Optimisation at Mondi

Theme: Internet of Things

Organisations as diverse as consumer brands, service providers, and vertical manufacturers like Mondi are becoming more aware of the importance of data in their daily business. The big opportunity for digital is to change existing processes, which goes beyond process automation or continuous process improvement approaches. This session will provide insights into newly defined data driven processes and IoT based data analytics as the main enabler, as well as the required actions for change management.

Jillian Augustine

Data Scientist, Mondi Group

Jillian Augustine is a data scientist with Mondi and a self-described ‘question answerer’.
'I am passionate about improving data understanding and communication with both stakeholders and within data teams,' Jill says. 'My professional approach to data science is to use the tool that gets the job done given the constraints from team members and stakeholders. Another interest of mine is increasing the inclusivity of working groups through open exchanges and active diversification.'
Jill leads Mondi’s data science community and, together with her team, uses data science to support sustainable packaging and paper manufacturing. She worked as a data scientist in the telecommunication industry prior to joining Mondi. Jill has a Ph.D. in Molecular Biology from the University of Vienna (Austria). She earned her BSc from the University of Leeds (UK) including studies at McGill University in Montreal, Canada.

Break

Deep Learning for Mobile devices
14:45 - 15:30
Siddha Ganju
Artificial Intelligence
14:45 - 15:30
Main Stage

Deep Learning for Mobile devices

Theme: Artificial Intelligence

Over the last few years, convolutional neural networks (CNN) have risen in popularity, especially in the area of computer vision. Many mobile applications running on smartphones and wearable devices would potentially benefit from the new opportunities enabled by deep learning techniques. However, CNNs are by nature computationally and memory intensive, making them challenging to deploy on a mobile device. We explain how to practically bring the power of convolutional neural networks and deep learning to memory and power-constrained devices like smartphones. We’ll illustrate the value of these concepts with real-time demos as well as case studies from Google, Microsoft, Facebook and more. You will walk away with various strategies to circumvent obstacles and build mobile-friendly shallow CNN architectures that significantly reduce memory footprint.

Siddha Ganju

Solution Architect, Nvidia Corporation

Siddha Ganju, who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. A graduate from Carnegie Mellon University, her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. Serving as an AI domain expert, she has also been guiding teams at NASA as well as featured as a jury member in several international tech competitions.

Break
15:30 - 16:00

Deep Learning Methods for Large Scale Personalization
16:00 - 16:30
Noa Barbiro
Artificial Intelligence
16:00 - 16:30
Main Stage

Getting Personal: Deep Learning Methods for Large Scale Personalization

Theme: Artificial Intelligence

Booking.com is one of the world's largest online companies, empowering the millions of people visiting our website or application to choose the right accommodation and travel experience among one of our 29M+ listings in 200+ countries. How can personalization be achieved in such a high scale, and to what extent does machine learning play a role? In this talk I’ll introduce the concept of Machine Learning, focusing on Deep Learning and cover the challenges and application of handling personalization using different methods such as Computer Vision and Sequence Models (NLP) to succeed in this task. Join me as I walk-through the personalization concepts using deep learning and other machine learning applications, the role of a business or product manager in building machine learning solutions as well as the unique Booking.com experimentation culture that enables a measurable success.

Noa Barbiro

Group Product Manager Data Science, Booking.com

Noa Barbiro is a Group Product Manager Data Science at Booking.com Tel Aviv, with over a decade of experience with leading product development in Israel and the US.
At Booking.com, Noa is leading applied machine learning product teams focusing on computer vision, NLP and voice-to-text transcription.
In addition, Noa leads a mentoring program at the non-profit organization ‘LeadWith – Women Leading Tech’ to encourage women’s professional growth.

Break

Real-world blockchain apps; challenges and solutions
16:45 - 17:30
Cees van Wijk
Blockchain
16:45 - 17:30
Main Stage

Real-world blockchain apps; challenges and solutions

Theme: Blockchain

With the first blockchain and Distributed Ledger applications going live this year Cees will explain the technical challenges ING blockchain faced and how they resolved them. This talk will cover code examples and live demo using Corda Distributed Ledger Technology (DLT) and Kotlin. Specifically, the audience will learn: - How Corda works, how it’s both similar and different to Blockchain technology. and why we like it so much. - How we do Continuous Deployment of smart contracts (that by definition are immutable and are operated by multiple organizations..) - How keep confidential information secret in a distributed ledger (that needs to share information with many organizations in order to allow decentralized validation. - How we meet our performance goals (using a technology that needs to reach consensus on a globally deployed network) - How we reliably integrate Blockchain applications with our traditional IT systems.

Cees van Wijk

Blockchain Engineer, ING-DiBa AG

Cees is Blockchain Engineer in ING’s Blockchain and Distributed Ledger Technology chapter. In that role he engineers real world Blockchain applications various blockchain platforms such as Corda, Ethereum and Corda. Besides that he worked on Blockchain research such as ING’s Zero Knowledge Range-Proof in Ethereum.

Closing
17:30 - 18:00

IoT & Cloud Stage
IoT & Cloud Stage
Break

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1
10:45 - 11:15
Vladimir Nisevic & Pablo Kübber
Cloud Computing
10:45 - 11:15
IoT & Cloud Stage

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1

Theme: Cloud Computing

Due to our long history A1 faces a multitude of different systems and heterogeneous landscape resulting in numerous different frontends and inconsistent UX.Based on this actual situation and challenges in the A1 IT organization we want to present how new technologies and developing models result in high-quality UX for our customers and users and at the same time transforms our IT landscape to fit in our agile organization and ways of working.We present our microfrontend platform based on JS running in Kubernetes where many teams can build a better UX experience for our customers and users.This is not only about technology and cloud but also about organizational aspects – how to engage current development teams to contribute at their best which means giving them the highest possible autonomy they are used to and are keen on in their daily work.

Vladimir Nisevic

IT Architekt, A1 Telekom Austria

A passionate software craftsman with more than 25 years experience in building software and transforming organization towards agile.
Works in A1 for more than 17 years on various large scale projects, with focus on modernization of IT landscape, building development teams, introducing CRM platforms, executing agile transformation.
Prior to joining A1, worked as software consultant developing CRM software with focus on banking and insurance industry.
Holds a Master Degree in Telecommunication, studied at Vienna University of Technology.

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1

Theme: Cloud Computing

Due to our long history A1 faces a multitude of different systems and heterogeneous landscape resulting in numerous different frontends and inconsistent UX.Based on this actual situation and challenges in the A1 IT organization we want to present how new technologies and developing models result in high-quality UX for our customers and users and at the same time transforms our IT landscape to fit in our agile organization and ways of working.We present our microfrontend platform based on JS running in Kubernetes where many teams can build a better UX experience for our customers and users.This is not only about technology and cloud but also about organizational aspects – how to engage current development teams to contribute at their best which means giving them the highest possible autonomy they are used to and are keen on in their daily work.

Pablo Kübber

Solutions Architect, A1 Telekom Austria

Born in Santa Cruz - Bolivia on 28.04.1970. In 1989 he came to Vienna to study electrical engineering and computer science. For years as an independent developer, software consultant and IT architect working in various projects and industries. However, the greatest knowledge and strengths are in the telecommunications industry with over 16 years of experience in the field. From 2002 to 2009 employed as business consultant and IT architect at IBM Austria. Since 2010 working for A1 Telekom in various large transformation projects. He is currently the architect of Selling, where he helps to shape the transformation of the A1 IT landscape.

Break

Are you on the Edge? Or still in the Cloud?
11:30 - 12:00
Josef Hammer
Cloud Computing
11:30 - 12:00
IoT & Cloud Stage

Are you on the Edge? Or still in the Cloud?

Theme: Cloud Computing

This talk is about Edge Computing. As with the transition from mainframes to desktop computers, in the upcoming years a lot of processing will move from the cloud to the edge of the network, i.e. closer to the user. This will particularly affect areas with high data volume (IoT, AI) and low latency requirements (IoT).In this session, I will give a short introduction to this exciting new area and its benefits and use cases. Furthermore, I'll show which frameworks and tools developers can use right now (Amazon IoT Greengrass, Microsoft Azure IoT Edge, ...) and where we might be headed. Finally, I'll address the upcoming 5G networks where edge computing will be a first-class citizen.

Josef Hammer

Edge Computing / 5G Networks Expert, Institute of Information Technology – University of Klagenfurt

Josef is a highly results-driven software engineer with 27 years of experience in software development, currently specializing in edge computing respectively 5G networks. He got to lead projects at AVL, and research and design software platforms at CERN. Now he has one of the most advanced 5G playgrounds at his fingertips at the Lakeside Labs as a senior researcher at the University of Klagenfurt. But he strongly believes that developments need to be pragmatic and satisfying also from a business standpoint. That's why he leaped at the opportunity to enjoy extensive advanced training at Stanford and Harvard University as well as the Copenhagen Business School.

Lunch Break
12:00 - 12:45

How to build connected products
12:45 - 13:30
Simon Seres
Internet of Things
12:45 - 13:30
IoT & Cloud Stage

IoT THAT MATTERS

Theme: Internet of Things

How to build connected products, that speak to other products without dependcy of IoT clouds (full privacy, reliability, speed, and trust)? How to build products that have the quality level of a smartphone? I will insert success stories of products using our stack and advertise it to developers, so they can use our open stack to impress their bosses or customers.

Simon Seres

CEO & Co-Founder, nymea.io

Simon Seres is the CEO and Cofounder of the open platform nymea.His vision of independent and transparent IoT products influenced numerous digital strategies. Together with some of the brightest minds in the field, he established a comprehensive new perspective on the future of connected things. Every morning he gets up with the mindset of digital freedom and only creates products that aren't locked into a single vendor. nymea is a low-footprint middleware to connect an IoT product with multiple IoT services/clouds/products independently and radically minimizes integration efforts.

Networking Break

Shifting Container Security Into Overdrive with Prisma Cloud and Computing Edition (AKA Twistlock)
13:45 - 14:15
Christopher Feussner
Internet of Things
13:45 - 14:15
IoT & Cloud Stage

Shifting Container Security Into Overdrive with Prisma Cloud and Computing Edition (AKA Twistlock)

Theme: Internet of Things

In this session, we will look into the big picture with container, registry and orchestration, and pipeline integration. We will talk about the roles each team - spanning DevOps, infrastructure, and security - play in securing modern applications. You will learn the best practices to integrate container security across the application lifecycle at scale?

Christopher Feussner

Security Engineer, Palo Alto Networks

Christopher is a Security Engineer in the Prisma Cloud EMEA team at Palo Alto Networks. He works with customers and organizations to secure their journey into the cloud. Christopher loves to build holistic cloud security architectures to implement the best prevention for each cloud stack. Before joining Palo Alto Networks, Christopher was a Systems Engineer at Brocade Communications and Enterasys Networks.

Break

From CLI to APIs: You can easily talk to your network now
14:30 - 15:15
Flo Pachinger
Internet of Things
14:30 - 15:15
IoT & Cloud Stage

From CLI to APIs: You can easily talk to your network now

Theme: Internet of Things

How you manage your IoT network infrastructure is changing from classic CLI towards a more API-fun way! This session will tell what is nowadays possible with tools like RESTCONF, NETCONF, gRPC and YANG data models to monitor, configure and manage gateways and other network components. It will also cover on how you can leverage these technologies with real-life use-cases, e.g. Connected Machines in IIoT. To make it more fun, there will be a demo about how you can talk to or manage your devices via a chatbot.

Flo Pachinger

Developer Advocate, Cisco DevNet

Florian (or Flo) is a Developer Advocate at Cisco DevNet focusing on IoT and Network Programmability. With a software and networking background he is working since a couple of years on many IoT projects mostly in Germany. DevNet leads the Developer Community within and outside of Cisco and covers information for APIs, DevOps, applications, automation and infrastructure management.

Break
15:15 - 15:45

The road to kubernetes
15:45 - 16:30
Mario Žagar
Cloud Computing
15:45 - 16:30
IoT & Cloud Stage

The road to kubernetes.

Theme: Cloud Computing

Infobip messaging platform runs in 15+ datacenters with 400+ application running on it. Every minute some change is deployed to production by one of our 20+ dev teams and we want to need a stable platform that also enables us to deploy often and in a safe manner. In this talk I will present our motivation to start the switch from running our services on a custom built platform to running them on kubernetes. I will discuss the specific challenges we needed to overcome to start this process, how we did it, where we are now and what are our next steps on the road to kubernetes.

Mario Žagar

Principal Engineering Architect, Infobip

As Infobip's Principal Engineering Architect, Mario is currently working on the implementation of Kubernetes as the next-generation platform that Infobip products will run on. Mario is passionate about software architecture, design patterns, real-time systems, agile methodology, and is enthusiastic about the field of service reliability. He joined Infobip ten years ago, and during that time, he had the opportunity to be involved in the creation and development of most Infobip products.

Closing
16:30 - 17:00

AI & Blockchain Stage
AI & Blockchain Stage
Break

Attacking Machine Learning Methods Used for Detection of Cyber Attacks
10:45 - 11:30
Jelena Milosevic
Artificial Intelligence
10:45 - 11:30
AI & Blockchain Stage

Attacking Machine Learning Methods Used for Detection of Cyber Attacks

Theme: Artificial Intelligence

The number of users of connected devices and complexity of communication networks is increasing. This rises the interest of attackers since there is more information to gain access to. At the same time, it makes network traffic analysis based on detection and prevention of cyber-attacks inherently complex.In order to enable effective detection of cyber attacks, many machine learning methods are proposed. Main reasons are that they scale well with the increased amount of information, they are fast and, at the same time, provide opportunity to protect network users not just from known threats but also unknown variants of previous attacks (big advantage in comparison to previously used signature-based detectors). However, recent research on security of machine learning shows that there are various inherent properties of machine learning methods that allow attackers to bypass these methods once deployed in practice.In this talk, I will first discuss machine learning methods suggested for detection of cyber attacks and discuss their detection performance. Then, I will show how to perform few recently proposed attacks on these machine learning methods and how such attacks can affect previously observed detection performance. Finally, I will outline current open problems in security of machine learning and detection of cyber attacks.

Jelena Milosevic

Projektass. Dipl.-Ing. Dr.techn., TU Wien

Jelena is a PostDoc at the Institute of Telecommunications, TU Wien, where she works on detection of cyberattacks in communication networks and adversarial machine learning. She obtained her Ph.D. in 2017 from the Faculty of Informatics, University of Lugano, Switzerland, where her main focus was on machine learning for resource-constrained devices. Previously, she was an intern at Intel and IBM Labs, where she worked on deep learning for embedded systems and time-series analysis for anomaly detection.

Break

Real Data vs. Anonymization
11:45 - 12:15
Matthias Lichtenthaler
Artificial Intelligence
11:45 - 12:15
AI & Blockchain Stage

Real Data vs. Anonymization - Prerequisits for AI and Machine Learning

Theme: Artificial Intelligence

Quality assurance for anonymization-software is a critical factor for a sustainable use of Artificial Intelligence. Questions about the comparativeness of efforts to anonymize data and overdoing anonymization have to be raised for adequate use of anonymization-software. BRZ experts will discuss these questions and further present anonymization principals and technical validation methodologies.

Matthias Lichtenthaler

Head of Digital Government & Innovation, Austrian Federal Computing Centre

Matthias Lichtenthaler (PMP) serves as the Head of Digital Government & Innovation of the Federal Computing Center of Austria. He leads the key activities to execute a holistic Digital Transformation approach for the public sector in Austria. He coordinates various Initiatives as part of the Digital Roadmap for Austria – including Public-Private Partnership Solutions bridging between Public and Private Sector.
During many years of project management in the area of Project, Document & Data Management he developed extensive experience in Capital Project Management, Content Analytics and Process Automation. Currently, he works with a certain focus on adapting latest technology trends like AI and Blockchain for the public sector. Altogether he can reflect upon 18 years of experience within IT Management. Previously he led the Digital Business at Accenture in Austria.

Lunch Break
12:15 - 13:00

Common Pitfalls in Computer Vision Project
13:00 - 13:45
Ronald Luc & Sanchit Singh
Artificial Intelligence
13:00 - 13:45
AI & Blockchain Stage

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Ronald Luc

ML Research Engineer, Sclable

Experienced Machine Learning Engineer, Python back-end and C++ algorithms developer, blogger. Successfully developed and deployed Deep Learning solutions in NLP, computer vision and sound processing. Won several algorithmic competitions and ML hackathons.

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Sanchit Singh

Computer Vision Lead, Sclable

Experienced data scientist with a special focus on Computer Vision, Image Processing, Machine Learning and Deep Learning.

Common Pitfalls in Computer Vision Project
13:00 - 13:45
Ronald Luc & Sanchit Singh
Artificial Intelligence
13:00 - 13:45
AI & Blockchain Stage

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Ronald Luc

ML Research Engineer, Sclable

Experienced Machine Learning Engineer, Python back-end and C++ algorithms developer, blogger. Successfully developed and deployed Deep Learning solutions in NLP, computer vision and sound processing. Won several algorithmic competitions and ML hackathons.

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Sanchit Singh

Computer Vision Lead, Sclable

Experienced data scientist with a special focus on Computer Vision, Image Processing, Machine Learning and Deep Learning.

Networking Break

Stop hackers before they start.
14:00 - 14:45
Anna Bacher
Artificial Intelligence
14:00 - 14:45
AI & Blockchain Stage

Stop hackers before they start. Deep Learning for detection and remediation of vulnerabilities in the programming code.

Theme: Artificial Intelligence

Challenges and choices we made while applying deep learning networks to automatically detect and remediate security vulnerabilities in the programming code.

Anna Bacher

CTO, Jaroona GmbH

Anna is the charismatic seasoned entrepreneur, CTO, developer and ethical hacker with 19 years of experience in developing, penetrating and selling complex systems for top 100 International banks, telecom and payment processors. She is a co-author of the patent in the field of software security. Anna works on the Jaroona project, together with one of the finest teams ever assembled in cybersecurity, ethical hacking, machine and deep learning.

Break

Hand moves recognition with iWatch and Swift
15:00 - 15:45
Milan Todorovic
Artificial Intelligence
15:00 - 15:45
AI & Blockchain Stage

Hand moves recognition with iWatch and Swift

Theme: Artificial Intelligence

iWatch enables acquiring a lot of data about moving your hand. Apple's CoreML and CreateML frameworks enable making of high efficient machine learning models to recognize the type and meaning of these movements. This lecture will provide an overview of the whole process when you want to use recognition of this moves in your apps.

Milan Todorovic

Swift/iOS Trainer & Software Engineer, Crossover

Milan is an Apple Certified Trainer, Consultant and Software Engineer, with long experience in software development and especially in training of developers of all levels of knowledge. He is deeply focused to Swift since the very beginning of life of this programming language. He works for Apple Authorized Training Centre - Crossover in Belgrade, Serbia. Passionately helping beginners, intermediate and experienced developers to improve their knowledge, in areas of general development, machine learning, augmented reality and other. Milan is also a sailboat skipper, combining development training with sailing with its goal to maximize motivation and knowledge adoption for attendees.

Break

What we need to do to continue advancing Deep Learning
16:00 - 16:30
Eric Steinberger
Artificial Intelligence
16:00 - 16:30
AI & Blockchain Stage

What we need to do to continue advancing Deep Learning

Theme: Artificial Intelligence

Machine Learning algorithms beat top humans in complex games like Go, Poker, and Dota 2. But to do so, they need many times more gameplay experience than humans could ever get. AI speaks our languages. But to do so, they need to read gigantic amounts of text. And so on. Recent progress was possible because of a 300.000x increase in AI compute over 6 years. This can't continue; even Google hits a limit at some point. How can we continue AI research without increasing compute and data?

Eric Steinberger

CEO & AI Researcher , Climate Science

Eric Steinberger's research focuses on Deep Reinforcement Learning. Since his first research appointment at age 18, he worked with MIT, TU Wien, and the University of Luxembourg to apply Deep Learning to complex real-world problems. His most recent project at MIT investigates how micro-lending in Africa could be improved by carefully designing game-theoretic incentives while keeping methods practical. Eric always loved science, but he never appreciated overcomplicated papers and reports. Therefore, he started giving talks introducing the technical sides of Deep Learning to a wider audience. His second area of interest is climate science, where he is also part of a team creating educational content for children.

Closing
16:30 - 17:00

Business Stage
Business Stage
Female Leaders who Drive Change
10:15 - 10:45
Gertrud Kolb & Mali M. Baum
10:15 - 10:45
Business Stage

Theme: Executive

Gertrud Kolb

CTO, Axel Springer Digital News Media

Gertrud is the CTO at SPRING, the Digital News Media Unit of Axel Springer SE. SPRING drives technology for the national media brands of the publisher Axel Springer and is responsible for more than 60 digital media products for 25 brands. Creating customer-focused, data-driven products to serve the audience best is what Gertrud deals with. Her aim is SPRING to become a tech player owning crucial technology in each part of the publishing value chain of digital journalism.

Theme: Artificial Intelligence

Mali M. Baum

CEO & Founding Partner, WLOUNGE and MAGDA GROUP

Mali is one of the People Shaping Female Founders Future and opportunities at the startups Ecosystem in Berlin and Germany, recently announced raising a new fund of funds, Magda Group FoF in Berlin with focusing on EU technology diverse team, building more success stories and uplifting the tech ecosystem in Europe and beyond. Mali has 20 years experience of founding companies. Started her first business in 2007 and followed this up with a global educational toys business, in Tel Aviv, which sold products in the US, Asia and across Europe. The products won numerous awards for innovation and design. Nominated for the ‘Digital Female Leader Award’ for 2017 and for 2018 and finalist for this year 2019. Mali is a regular speaker at conferences, a mentor and jury member of startup’s competitions, mentor at TechStars and other accelerators, actively involved in governmental activity and Corporate M&A to promote German tech ecosystem globally and locally. Lecturer at universities on entrepreneurship, diversity and international business in Berlin, Business angel, Mali has a lot of investments knowledge as a business angel and growth in startups.

Break

Talk from Martin Gutberlet
11:00 - 11:15
Business Stage

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

Talk from Martin Gutberlet
11:00 - 11:15
Business Stage

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

BMDW - Intro talk
11:15 - 11:30
Business Stage

Theme: Business Stage

Stefan Schmidt

Strategy & Demand Manager, Austrian Ministry for Digital and Economic Affairs

As Digital Business Strategist & Change Manager Stefan works closely together with his partners to improve organizations and services through sustainable change and technology. He is known for his strong focus on customers, their experience and their satisfaction. A skill Stefan learned during his past engagements in the pharmaceutical and IT industry. He gained experience as Business Analyst, Trainer and IT Manager. He holds degrees in informatics as well as in IT Law and Management, which helps him solve problems from many different perspectives. In his spare times, he serves a pretty good pasta and plays a bad forehand in tennis.

Reinventing Business Models with Artificial Intelligence (hosted by Crayon)
11:30 - 12:15
Rune Syversen & Martin Gutberlet & Denis Filazafovitch & Andreas J. Ludwig & Wolfgang Ebner
11:30 - 12:15
Business Stage

Theme: Executive

Rune Syversen

CEO & Co-Founder, Crayon Group Holdings ASA

Rune Syversen is the CEO and co-founder of Crayon Group Holdings ASA, a global leader in digital transformation services. He started the company with a colleague, and under his leadership Crayon has grown to more than 1400 employees in 30 countries that boasts of several accolades, including Microsoft’s No. 1 Global Partner for AI and ML. Syversen is a known serial entrepreneur, as he thrives off of innovation and tenacity, and has launched more than 10 companies, most of them in IT and finance.

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

Theme: Business Stage

Denis Filazafovitch

Group Head of Digital Transformation, A1 Telekom Austria Group

Theme: Artificial Intelligence

Andreas J. Ludwig

Chairman of the Executive Board, Umdasch Group AG

In 1986, Andreas J. Ludwig started his lawyer career at Swarovski Group, where he worked in different positions for 15 years. After two years at UBS Warburg in London, he became CEO of Zumtobel Group in 2003. Since 2010, he has been Umdasch’s Chairman of the Board.

Theme: Business Stage

Wolfgang Ebner

Deputy Director of the Directorate, Federal Ministery for Digital, Business and Enterprises

From 2012-2018 Wolfgang Ebner was Deputy Director of the Directorate 'ICT and E-Government' of the Ministry of Finance.  Before 2012 Wolfgang Ebner had different functions within the Austrian Ministery of the Interior. He was Adviser to the Minster of Interior for technical matters as well as international issues, security research, Cyber Security Coordinator and Chief of staff to the Director for public security. Wolfgang Ebner studied the law and additional studies and qualifications on information security

Lunch Break
12:15 - 12:45

Tech Talent Wars on the Federal Agenda – "Work in Austria" (powered by Austria Business Agency)
12:45 - 13:30
Aleksandra Izdebska & Matthias Grabner & Martin Mayer
12:45 - 13:30
Business Stage

Theme: Artificial Intelligence

Aleksandra Izdebska

Director ICT, ABA – Work in Austria

Theme: Business Stage

Matthias Grabner

Director of Technology, ADVANTAGE AUSTRIA

Matthias Grabner is managing ADVANTAGE AUSTRIA’s (WKO AUSSENWIRTSCHAFT) activities and initiatives in the field of Technology. With a background in media technologies and computer sciences, he started his career in South Korea, where he lived and worked for almost 10 years. Early on Matthias recognized the opportunities that come along with internationalization, and is now committed to help Austrian tech companies find their worldwide success.

Theme: Business Stage

Martin Mayer

Managing Director, Iventa

Martin Mayer studied business administration at the Vienna University of Economics and Business.  After working in international business consulting for a number of years, he was part of the management team of a large Austrian bank. In 2000, Martin continued his career in Iventa, founded by his mother in 1991, and took over the role of managing director. From there he developed Iventa into a market-leading human management consulting company in Austria. In the 19 years since, he has been involved significantly in the design of the HR consulting industry in Austria and continues to work for a number of Austrian and international business advisory boards.
Iventa is a full-range supplier within the HR industry covering the fields of executive search, human resources and organizational development, employer branding, media & tec, and IT-recruiting. It is represented in five locations in Austria, two in Germany, one in Romania and works closely with qualified partners internationally.
Iventa has specialized itself in new and individual paths in IT recruiting and uses innovative approaches to find the right and experienced experts for its clients. 28 years of market experience in combination with professional IT competence is Iventa’s key to success.

Networking Break
13:30 - 14:45

Financial Services in the Age of Artificial Intelligence (hosted by Crayon)
14:45 - 15:30
Hilda Kosorus & Stefan Häbich & Horst Stagl & Lubomir Karlik
14:45 - 15:30
Business Stage

Theme: Executive

Hilda Kosorus

AI Advisor, Crayon

Hilda Kosorus has been working in the field of Data Science for the past 9 years. Coming from the academic and research world after finishing her PhD in computer science, she took on the challenge of laying the foundation of Data Science at Runtastic. Her strongest skills focus on bridging the gap between analytics and other departments, creating value from data and help organizations become more data-driven. Her latest project aimed at leveraging machine learning models to infer causality in customer purchase behavior for the financial service provider RBI. Hilda Kosorus recently took on the role of AI Advisor at Crayon.

Theme: Business Stage

Stefan Häbich

Managing Director, George Labs

Stefan is Managing Director of George Labs, the Erste Group Research and Development Lab. He is part of Erste Group since 13 years and has lead several Management- and Program Management functions. Prior to this Stefan spent 7 years with one of the global Technology- and Strategy consulting firms. His professional roots are in Deutsche Bank. He holds a Master in economics and psychology and is proud of his family and his 2 kids.

Theme: Business Stage

Lubomir Karlik

Head of Artificial Intelligence Transformation, Raiffeisen Bank International AG

Lubomir Karlik is AI product owner at RBI and leads the Raiffeisen Group AI Lab. He has 10 years of experience in international banking projects across variety of division focused on data analytics, data-ware-housing and business intelligence. In the last years the main focus has been identification and implementation of AI backed solutions to increase customer experience where conversational AI plays a prominent role.

Break

Automated Software Testing
15:45 - 16:15
Johannes Hochrainer & Markus Lenger
15:45 - 16:15
Business Stage

Theme: Executive

Johannes Hochrainer

Senior Consultant & Trainer, Software Quality Lab

Johannes Hochrainer is a senior consultant and trainer at Software Quality Lab. He is responsible for the topics software architecture, design and unit testing. Johannes is supporting member of iSAQB and software architect at the company Automated Software Testing.

Theme: Executive

Markus Lenger

Developer & Trainer, Automated Software Testing GmbH

Markus Lenger just got hired as a senior developer, trainer and consultant at Automated Software Testing GmbH (AST). Before that he was responsible for the development of software tools for verification of RF transceivers in the Intel Communication and Devices Group (iCDG). At AST he continues to pursue his strong focus on software-quality and functional verification by working on the Testcode Generator.

Break

Augmented Data Insights
16:30 - 17:00
Dr. Ahmad Haj Mosa
16:30 - 17:00
Business Stage

Augmented Data Insights

Theme: Artificial Intelligence

Almost any data science project needs four experts: Domain Expert how asks questions about data, Data Engineer, who extracts or searches for relevant data, Data Scientist who develop models to get insights and finally the interpreter who explains the insights the domain expert. augmented data analytics target the automation of such a process. This automation includes various AI technologies such as Natural Language Understanding, Program Synthesis, AutoML, Explainable AI and Natural Language Generation. In this talk, I will present PwC Responsible AI Framework and show how Augmented Data Insights helps us in achieving its goals.

Dr. Ahmad Haj Mosa

Senior Manager, Head of AI, PwC Austria

Dr. Ahmad Haj Mosa is a postdoctoral researcher and a lecturer at the Institute for Smart System Technology (IST) in the University of Klagenfurt, Austria. His research area focuses on Augmented Intelligence and Explainable Deep Learning. At PwC, Ahmad works on employing the recent AI breakthroughs to the field of Tax, Legal and financial services, including anomaly and fraud detection, process automation and natural language processing.

Closing
17:00 - 17:30

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Main Stage
Main Stage
Registration
08:30 - 09:45

End-to-end deep learning pipeline for self-driving cars
09:45 - 10:30
Teemu Kinnunen
Artificial Intelligence
09:45 - 10:30
Main Stage

End-to-end deep learning pipeline for self-driving cars

Theme: Artificial Intelligence

Self-driving cars are fun to build, but how does it actually work and how can the know-how teach you to leverage your data science projects from zero to 100? Using the self-driving car as an example, you will learn how to apply deep learning for computer vision tasks and how to build an end-to-end machine learning pipeline.You will gain insights on the code that trains Tensorflow models as well as the intuition in to theory behind the code. To make the theory tangible the talk will also be looking at best practices of a typical an end-to-end machine learning pipeline to collect and clean data, train and evaluate models in cloud and deploy the trained model to a car - and show how this can help you in your Data Science projects.

Teemu Kinnunen

Data Scientist, Futurice

Teemu Kinnunen has passion for computer vision and machine learning. He develops tools to convert raw data such as video, images and text archives into easily tangible products. He has expertise using open source software to build applications and prototypes really fast and evaluate their performance in a scientific manner. Last year, he gave a talk about Deep learning and Spark for NLP at WeAreDevs Vienna.

Break

Staying Safe in the AI Future
10:45 - 11:30
Cassie Kozyrkov
Artificial Intelligence
Main Stage
10:45 - 11:30

Staying Safe in the AI Future

Theme: Artificial Intelligence

Machine learning and artificial intelligence are no longer science fiction, but what does it take to harness their potential effectively, responsibly, and reliably? Based on lessons learned at Google, this talk will offer actionable advice to help you find opportunities to take advantage of machine learning, navigate the AI era, and stay safe as you innovate.

Cassie Kozyrkov

Chief Decision Scientist, Google, Inc.

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the force behind bringing the practice of Decision Intelligence to Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google's Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she’s not working, you’re most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel.

Break

Break

Training a Machine to See What’s Beautiful
11:45 - 12:30
Dat Tran
Artificial Intelligence
Main Stage
11:45 - 12:30

Training a Machine to See What’s Beautiful (esp. for Hotel Photos)

Theme: Artificial Intelligence

We’ve all heard that “a picture is worth a thousand words”. That definitely applies to our hotel price comparison service hotel.idealo.de, a daughter company of Axel Springer. Each hotel supplies us with dozens of images, presenting us with the challenge of choosing the most “attractive” image for each pitch on our offer comparison pages since photos can be just as important for bookings as reviews. Given millions of hotel offers, we end up with more than 100 million images which require an “attractiveness” assessment.Although teaching and training a computer to decide what makes a “beautiful” hotel photo is a hard problem, it’s not impossible. In this talk, we will present how we solved this difficult problem. In particular, we will share our training approaches and the peculiarities of the models. We will also show the “little tricks” that were key to solving this problem.

Dat Tran

Head of AI, Axel Springer AI

Dat is the Head of AI at Axel Springer Ideas Engineering, the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI where his goal is to make AI more accessible within Axel Springer and hence drive innovations within the group. His ultimate plan is to turn Axel Springer into an AI first company.Dat's interests are diverse from traditional machine learning, deep learning, AI in general to computer vision. Previously, he co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images. He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from Humboldt University of Berlin.

Lunch Break
12:30 - 13:15

Lunch Break
12:30 - 13:15

Self-Supervised Learning
13:15 - 13:45
Simon Stiebellehner
Artificial Intelligence
Main Stage
13:15 - 13:45

Self-Supervised Learning - Towards Autonomously Learning Machines

Theme: Artificial Intelligence

Supervised machine learning is powerful, but has severe limitations. For example, supervised learning requires extensive labeling of data sets, which is expensive. Also, learned representations are tailored to a very specific task, which often goes at the expense of model robustness. Overcoming these weaknesses, self-supervised learning has gained significant attention in recent past. Self-supervised learning is inspired by the way infants learn to understand the world around them. Even in absence of a 'teacher' (i.e. labels), infants quickly grasp new concepts and apply them to other domains. They do so by autonomously creating learning tasks (e.g. grabbing a toy) from sensory input of the world around them. Self-supervised learning mimics this behavior. It is a concept that is centered around automatically creating labeled data sets (learning tasks) from the input. For example, we could automatically and repeatedly remove parts of facial images and train a model to estimate the missing parts (labels) based on the surroundings. We can then use the learnt understanding of the structure of faces for other purely supervised learning tasks. This typically results in better prediction quality and improved model robustness as well as reduced training time and lower number of required labels.

Simon Stiebellehner

Head of AI, craftworks GmbH

Break

Automatic Spend Classification - An end to end solution
14:00 - 14:30
Emir Ombasic
Artificial Intelligence
Main Stage
14:00 - 14:30

Automatic Spend Classification - An end to end solution

Theme: Artificial Intelligence

Using the most recent fast Neural Network prototyping capabilities, it is made much easier for Data Scientists to try out different approaches in resolving real-life challenges for various businesses. In this speech, Emir will focus on a working solution that he developed using Tensorflow / Keras and which resolves one of the challenges that large companies face: spend management and analytics of unclassified articles. The solution bridges articles to a product category schema (so-called: [email protected]), processing them using NLP techniques and matching them via hierarchical model structure. This can be done on-demand or via batch processing. Once companies are able to match the articles to categories, it is much easier to check the spend per category and spot increasing procurement costs. This is especially true for large corporations where the orders are made in large volumes and range from papers, printers up to laboratory equipment and specialized parts.Emir will demonstrate multiple approaches that he has taken and show the pros and cons of different model configurations ranging from single model to orchestrated multiple dependent models.

Emir Ombasic

Data Scientist, Jaggaer

Born 1985 in Bosnia. Emir has a University degree in Mathematics and Information technologies and has spent the last 13 years of his career in software development.
Currently, he works as a Data Scientist at Jaggaer Vienna office, where he deals with large volumes of Procurement data and can apply his tool-set of Statistics, Discrete Mathematics and Linear Algebra. Over the years, his projects were ranging from Procurement SAP integrations via PHP, over Performance optimizations up until Order Delivery Time predictions, Digital Assistants and Spend Forecast consulting.
His primary focus is developing Python / Tensorflow / Keras AI Services and integrating them with existing solutions with the goal to increase user efficiency, reducing repetitive tasks and decreasing risks. Over the past years, he was able to integrate multiple solutions of this kind and also acted as AI / ML evangelist in the Procurement Business.

Break

Empowering developers
14:45 - 15:30
Leo Shiwei Li
Cloud Computing
Main Stage
14:45 - 15:30

Leo Shiwei Li

President, Tencent Cloud Europe

Shiwei Li is President at Tencent Cloud Europe and responsible for the expansion of China’s biggest internet company into Europe. Before joining Tencent Cloud in 2018, Shiwei Li was leading international teams at Huawei Technologies in the APEC region and Europe, where he gained rich experience in the international expansion of Chinese companies for almost two decades supporting Huawei’s globalization strategy.Today he is a renowned thought and business leader in the IT and Cloud computing industry who combines a deep technological and cultural understanding.Leading several teams during the past 17 years allowed Shiwei Li to develop a deep understanding of different industries such as Internet, automotive, telecommunications, retail, finance, media and entertainment. Leading teams overseas enabled him to develop a deep understanding of different cultures and close relationships with business leaders in China, Asia Pacific, and Europe.

Break
15:30 - 16:00

How ClusterFuzz found over 16,000 Bugs
16:00 - 16:30
Jakob Linskeseder
Cloud Computing
Main Stage
16:00 - 16:30

How ClusterFuzz found over 16,000 Bugs: An Introduction To Fuzzing

Theme: Cloud Computing

According to Wikipedia, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. Google uses fuzzing since 2015 to test its Chrome browser and found hundreds of bugs. In this talk I’ll introduce the concept of fuzzing and how it can increase the security and quality of software. We’ll also take a glimpse at OSS-Fuzz and ClusterFuzz – a scalable and open-source fuzzing infrastructure operated by Google.

Jakob Linskeseder

Senior Web-Developer, karriere.at

·  2008-2011: Bachelor degree in media arts and technology at the University of Applied Sciences Upper Austria
·  Since 2016: Senior Web-Developer at karriere.at with a strong commitment to web-security
·  Since 2018: Working on Master’s degree in information security at the University of Applied Sciences Upper Austria. Doing research in the High-Performance-Computing Lab.
·  Since 2019: Part time research fellow at Research Group Sichere Informationssysteme at FH Oberösterreich

Closing & Winner Announcement
16:30 - 17:45
SCROOSER, Huawei, CIRC and WeAreDevelopers

IoT & Cloud Stage
IoT & Cloud Stage
Tracability and Privacy Aspects in Industry
09:45 - 10:30
Christian Jandl
Internet of Things
09:45 - 10:30
IoT & Cloud Stage

Tracability and Privacy Aspects in Industry

Theme: Internet of Things

In course of digitization of production facilities, tracking of assets in the supply chain is increasingly relevant for the manufacturing industry. The collection and use of real-time position data of transport, tools and load carriers is today already standard in entire branches of industry and defined under the term "Asset Tracking". Productivity effects through better planning and control, but also through the guarantee of clear traceability of individual objects through the production process, outweigh the costs of system introduction and operation of these systems. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and status data of employees. Thus these technologies can be used for performance monitoring or also for monitoring work behaviour, which can lead to additional burdens and stress for employees. In this session, the technologies which are used in tracking systems will be presented and their privacy issues will be discussed. The audience should get a feeling for what has to be taken into consideration in relation to employee’s privacy when implementing and developing tracking systems in the industrial sector.

Christian Jandl

Researcher, St. Pölten UAS

Christian Jandl is a researcher associate at St. Pölten UAS at the Institute of Creative Media Technologies. His research topics include digitization and Industry 4.0 as well as embedded systems. He started his Ph.D. at TU Wien (Austria) in 2018, focusing on user privacy in industrial tracking systems. Especially when companies make use of tracking systems in the production plant, employee privacy has to be redesigned.

Break

Practical IoT
10:45 - 11:15
Nils Heuer
Internet of Things
Cloud Computing
10:45 - 11:15
IoT & Cloud Stage

Practical IoT: Lessons learned from building large-scale connected device platforms

Theme: Cloud Computing

Beyond any hype around the Internet of Things, making use of the data collected by devices ranging from wearables to kitchen appliances to factory robots is only going to become more relevant in the future. Yet, many teams treat the task of building an IoT solution like a traditional siloed IT project, setting themselves up for failure. However, best practices are starting to materialize around the challenges specific to (Industrial-) IoT. We will cover overall architecture decisions, Edge-vs-Cloud, data persistence strategies, analytics and machine learning examples and approaches to handling intermittent high velocity data. We’ll also look at some examples and demos on these topics.

Nils Heuer

Global Solutions Architect, Amazon Web Services

As a Solutions Architect in Amazon Web Services’ Global Accounts team, Nils advises organizations on the technology and processes of their journey to the cloud. He is passionate about shaping the impact of culture and communication on technology teams. Before joining AWS, Nils held consulting roles at Google, HP and several startups.

Break

How to make money with data analytics in industrial use cases
11:30 - 12:00
Manfred Kügel
Cloud Computing
11:30 - 12:00
IoT & Cloud Stage

How to make money with data analytics in industrial use cases

Theme: Cloud Computing

Manfred Kügel

Data Scientist and Advisor for Manufacturing Industry, SAS Institute

Manfred Kuegel is a hands-on mechanical engineer and data scientist. He gets excited if he can combine models based on physical laws with data science methods. Manfred has over a decade’s worth of experience building large industrial plants and troubleshooting production processes. He started to apply data science methods to find solutions for previously unsolved problems. Manfred developed and implemented dozens of data science use cases in industrial settings. At SAS he applies his data science and engineering know-how to generate maximum value for industrial clients.

Lunch Break
12:00 - 12:45

How we almost delivered 100 tons of Stracciatella Mousse
12:45 - 13:30
Björn Wendland & Tobias Schröder
Cloud Computing
12:45 - 13:30
IoT & Cloud Stage

How we almost delivered 100 tons of Stracciatella Mousse

Theme: Cloud Computing

It's not a bug, it's a feature! How often do we read or hear this saying? At what point in time are you confident to say that it's a feature? Is it when your service has a very good test-coverage, a user-focused design and never acts out of line because it utilizes fancy front-end testing tools and canary-releases? Even with seemingly perfect coverage along all levels of the test pyramid, we wonder why bugs appear. This talk is about how we almost delivered 100 tons of Stracciatella Mousse. On time! This was not a bug in production. A store employee confirmed that specific order. Nevertheless this behaviour sounds strange enough to investigate. That's why we stepped back. Took a deep breath and had a look at our metrics. Can we actually detect anomalies before someone drowns in a pool of tasty Stracciatella Mousse. Join the talk to find out!

Björn Wendland

Passionate Full Stack Developer & Clean Code Evangelist, METRONOM

With over five years of professional experience, Björn joined METRONOM last year and subsequently established Kotlin as programming language and became the company's Kotlin Ambassador.
True to METRONOM's mission to “set the pace in food and technology”, he challenges solution, architecture and implementation every day.
Björn distinguishes himself by his sound advice and solid decision making. Colleagues describe him as biased in a trustful way.
In his free time, Björn enjoys competing (or mostly goofing off) with friends during a gaming or a bouldering session.

How we almost delivered 100 tons of Stracciatella Mousse

Theme: Cloud Computing

It's not a bug, it's a feature! How often do we read or hear this saying? At what point in time are you confident to say that it's a feature?Is it when your service has a very good test-coverage, a user-focused design and never acts out of line because it utilizes fancy front-end testing tools and canary-releases? Even with seemingly perfect coverage along all levels of the test pyramid, we wonder why bugs appear. This talk is about how we almost delivered 100 tons of Stracciatella Mousse. On time! This was not a bug in production. A store employee confirmed that specific order. Nevertheless this behaviour sounds strange enough to investigate. That's why we stepped back. Took a deep breath and had a look at our metrics. Can we actually detect anomalies before someone drowns in a pool of tasty Stracciatella Mousse. Join the talk to find out!

Tobias Schröder

Full Stack Wizard, METRONOM

Tobias has more than five years of experience as professional full stack developer. After finishing his academic career with a PhD in dialog-based online argumentation, he decided to join METRONOM in the mid of 2018. Since then, he and his team are continuously improving METRO's customer order fulfillment processes. They provide their colleagues in the stores with first-class digital tools accelerating the management of thousands of articles over several freshness zones. Tobias's daily obsession: minimize and simplify the communication about customers' order information using online services.
In his spare time he loves to write Clojure, and if you don't find him coding, he is standing in front of his barbecue or lifting some dumbbells.

Break

Building a Data Platform with Apache Spark on Kubernetes
13:45 - 14:15
Jihwan Chun & Gyutak Kim
Cloud Computing
13:45 - 14:15
IoT & Cloud Stage

Building a Data Platform with Apache Spark on Kubernetes

Theme: Cloud Computing

Kubernetes has achieved one of the dominating platform for container-based infrastructure. Many platforms are starting to support Kubernetes as first-class and Apache Spark, analytics engine for large-scale data processing, is one of them. From Spark 2.3, Spark can run on clusters managed by Kubernetes. PUBG Corporation, serving an online video game for 10s of millions of users, decided to migrate its on-demand data analytics platform using Spark on Kubernetes. At this talk, Jihwan Chun and Gyutak Kim will describe the challenges and solutions building a brand-new data platform project powered by Spark on Kubernetes. Sphynx, the project which will be discussed at the talk, is a platform for managing on-demand Spark clusters and connected Jupyter Notebooks as containerized applications on Kubernetes.

Jihwan Chun

Software Engineer

Jihwan Chun has recently contributed to building a global-scale game server infrastructure for the video game called Playerunknown's Battlegrounds. These days his main interest is building a robust and scalable data platform for data-driven development in game industry.

Building a Data Platform with Apache Spark on Kubernetes

Theme: Cloud Computing

Kubernetes has achieved one of the dominating platform for container-based infrastructure. Many platforms are starting to support Kubernetes as first-class and Apache Spark, analytics engine for large-scale data processing, is one of them. From Spark 2.3, Spark can run on clusters managed by Kubernetes. PUBG Corporation, serving an online video game for 10s of millions of users, decided to migrate its on-demand data analytics platform using Spark on Kubernetes. At this talk, Jihwan Chun and Gyutak Kim will describe the challenges and solutions building a brand-new data platform project powered by Spark on Kubernetes. Sphynx, the project which will be discussed at the talk, is a platform for managing on-demand Spark clusters and connected Jupyter Notebooks as containerized applications on Kubernetes.

Gyutak Kim

Data Engineer, PUBG

Gyutak is a data engineer at PUBG corporation who takes a role in development of the data platform and ETL pipelines for the game called Playerunknown's Battlegrounds. His current goal is building a microservice infrastructure over Kubernetes which can integrate overall PUBG data services.

Break

Data Breaches As A Necessary Evil
14:30 - 15:15
Bob Diachenko
Cloud Computing
14:30 - 15:15
IoT & Cloud Stage

Data Breaches As A Necessary Evil

Theme: Cloud Computing

Bob Diachenko is a Cyber Threat Intelligence Director and journalist at SecurityDiscovery.com consultancy. To discover data breaches, leakages, and vulnerabilities on the Internet, he uses the Shodan search engine (and similar - like BinaryEdge, Zoomeye) and simple dorks. No special software or active scanning, just 'bare hands' and some luck. If he can find your data, then anybody in the world can do it. Not only legitimate companies or businesses forgot to properly configure their datasets. For the past two years, Bob spotted at least three cases when malicious actors or criminals have inadvertently put stolen assets on the public. Focusing on these real-time cases and breaches in unsecured databases managed by criminals, Bob uncovers the key checklist that keeps your data safe and how to protect your personal data from being stolen.

Bob Diachenko

Cyber Threat Intelligence Director & Journalist, SecurityDiscovery.com

Bob Diachenko is a Cyber Threat Intelligence Director and journalist at SecurityDiscovery.com consultancy.
In the past, Bob has worked in a company that had a big data breach. Now his goal is to help to protect data on the Internet by identifying data leaks and following responsible disclosure policies.
Bob is on the mission to make the cyber world safer by educating businesses and communities worldwide. Many of Bob's discoveries have been covered in major news and technology media, earning himself a reputation as one of the reputable data security analytics.

AI & Blockchain Stage
AI & Blockchain Stage
Ocean Protocol - Empowering a new AI ecosystem an open source blockchain protocol
09:45 - 10:30
Marcus Jones
Blockchain
09:45 - 10:30
AI & Blockchain Stage

Ocean Protocol - Empowering a new AI ecosystem an open source blockchain protocol

Theme: Blockchain

The open-source and decentralized Ocean Protocol project has evolved from a proof of concept to deployed into production. The simplest case is unlocking data assets to empower artificial intelligence - more data is better! This talk will go beyond data and explore the future of decentralized AI. Ocean Protocol supports advanced access control and orchestration, built on our smart contracts and Service Execution Agreements (SEAs). These mechanisms allow more complex use cases, such as aggregate data assets (the whole can be greater than the sum of the parts!), and execution of a complete data science workflow. Ocean Protocol empowers data scientists with an open and cryptographically secure platform to build applications such as compute over private data, and federated learning to unlock the true potential of AI.

Marcus Jones

Lead Data Scientist, Ocean Protocol

Marcus Jones is the lead Data Scientist at Ocean Protocol, a blockchain decentralized marketplace for data, pipelines, and models for the AI ecosystem. Marcus has been hacking in Python development and open source projects for over 10 years, starting at a national research agency in Vienna Austria, moving to international consulting, and most recently landing in Berlin at Ocean. Marcus is focused on the intersection of Artificial Intelligence and the new decentralized Web 3.0 ecosystem and how it will empower Data Engineers and Data Scientists.

Break

Program Synthesis
10:45 - 11:30
Friedrich Slivovsky
Artificial Intelligence
10:45 - 11:30
AI & Blockchain Stage

Program Synthesis

Theme: Artificial Intelligence

It’s estimated that 80% of the development time in machine learning projects is spent on getting the data into the right format - that process is called data wrangling. Often the transformations are simple but still require some trial and error to get right. You look at a few examples, come up with a transformation, then realize that it does not work on a different example and refine accordingly. Programming By Example (PBE) is a technology that generates code for the transformation just based on examples. Not only does this mean you don’t have to write your own transformation (though of course you can edit what’s generated by PBE), but the transformation is correct by design: you can be sure that it covers the examples that you presented.- Most development environments have some sort of autocomplete feature that provides suggestions based on context. For instance, as you starting writing the name of a previously declared variable the system suggests the name of that variable, or you get a list of available methods of an object. Using AI, these capabilities can be vastly expanded. Something I do quite frequently (and I think that's very common for developers) is go to a website like Stackoverflow looking for a snippet of code. (For example, I might be looking for an elegant way to delete all elements from a vector that match a certain pattern.) Once I find something that fits, I copy/paste it into my own code and edit the result to make sure everything is consistent. AI can help automatize that procedure: I specify my intent (using the same query I would use to search Stackoverflow) and in response get the snippet inserted into my code, already customized with my own variable names.- Sometimes you know the high-level structure of the program you want to write but haven't figured out all the details yet. "Sketching" is an approach where you define the abstract structure of the code in the form of a program that has gaps in it (a "sketch"), along with testcases that specify the correct behavior of your program (if you're a diligent coder, you have to write such test cases anyway). Leveraging clever algorithms, the computer then fills in the gaps in your program so that it passes the tests you provided.

Friedrich Slivovsky

Postdoctoral Research Assistant, TU Wien

Friedrich Slivovsky is a postdoctoral research assistant with the Algorithms & Complexity Group at TU Wien and part-time data scientist with Softwarepark. His research is focused on building logical reasoning engines for problems that are generally considered intractable. Recently he is trying to find ways for machine learning to aid in this task.

Break

Data Science in action - real world examples
11:45 - 12:30
Dr. Olivia Lewis
Artificial Intelligence
11:45 - 12:30
AI & Blockchain Stage

Data Science in action - real world examples

Theme: Artificial Intelligence

Machine Leaning is not always the solution to all problems. In real world examples data scientists often face the reality of the situation that provided data is not sufficient to train a machine learning model as planned. Labeled data is not available, the amount of data is not enough or on the other hand even too much? Most of us have faced at least one of these challenges. How can these problems be tackled and which data science techniques can be used to solve real world problems with imperfect data.

Dr. Olivia Lewis

Data Science Team Lead, The unbelievable Machine Company GmbH

Olivia is the Head of Data Science for 'The unbelievable Machine Company GmbH' in Berlin with previous work experience as a Data Scientist, a Ph.D. in Systemic Neuroscience from the Graduate School of Systemic Neurosciences (GSN) at the LMU Munich and a BSc from the TU Berlin in Physics.

Lunch Break
12:30 - 13:15

Achieving financial freedom using cryptocurrencies
13:15 - 14:00
Pavol Luptak
Blockchain
13:15 - 14:00
AI & Blockchain Stage

Achieving financial freedom using cryptocurrencies (2019 edition)

Theme: Blockchain

Real digital privacy starts with protecting your financial transactions. Leaving no traces. Making impossible to see or intervene with your voluntary economic interactions. With the rise of anonymous cryptocurrencies, for the first time in our human history, we can do a global business and stay anonymous. Liberate yourself.

Pavol Luptak

Ethical Hacker, Nethemba

Pavol gained his BSc. at the FEI-STU in Bratislava and MSc in Computer Science at the Czech Technical University with a master thesis focused on ultra-secure systems. He holds many prestigious security certifications including CISSP and CEH, he is Slovak OWASP chapter leader, co-founder of Progressbar and SOIT organizations where he is responsible for IT security.
Pavol uses to have regular presentations at various worldwide security conferences (in the Netherlands, Luxembourg, Berlin, Warsaw, Krakow, Prague). In the past, he demonstrated vulnerabilities in the public transport SMS tickets in all major cities in Europe, together with his colleague Norbert Szetei he practically demonstrated vulnerabilities in Mifare Classic RFID cards. He has 14 years of experience in IT security, penetration testing and security auditing including social engineering and digital forensic analysis.
He is the co-author of the OWASP Testing Guide v3, has a deep knowledge of the OSSTMM, ISO17799/27001 and many years experience in seeking vulnerabilities. He has a knowledge of many programming languages (ASM, C, C++, XSLT, Perl, Java, PLSQL, Lisp, Prolog, scripting languages) and operating systems. He is also focused on VoIP and interesting IT security research.

Break

Quantum Computing
14:15 - 14:45
Alexandra Waldherr
Artificial Intelligence
14:15 - 14:45
AI & Blockchain Stage

Say hello to future's hardware!

Theme: Artificial Intelligence

Quantum computing is something everybody heard off, but nobody really knows about. Do we need it? From lab data problems and AI, I stumbled into optimization and qubits. Interestingly, methods chemists use daily are tightly bound to quantum computing! Her talk should give the audience a feeling for what quantum computers are, the chemistry and physics behind how they operate and how they are proposed to enhance AI. She will finish with a live-glimpse into IBM-Q (free portal to 'program' one of the world's first quantum computers).

Alexandra Waldherr

Student, Chemical Engineering

My name is Alexandra Waldherr. I am 17 years old and currently attend a higher technical college for chemical engineering.
Since age 12, I am passionate about science, especially physics and chemistry of tiny matter. Besides school, I challenge myself in science competitions and Python/Arduino projects at home.
In 2018 I finished the Viennese Physics' Olympiad best girl, this summer I worked with the department for material chemistry of TU Vienna and did an internship at AF-Institute Vienna (AI and data management for the medical sector). I was invited to speak at the FifteenSeconds-Festival and introduced nanomaterials and biocomputing at Gainer-Festival 2019. For the end of October, I am selected to represent Austria at CERN for two weeks as part of the HSSIP-program.
As a chemist, I know quantum mechanics and all the theory. However: To be honest, some practical concepts of quantum computing are still foreign to me.
I would therefore go with Schroedinger and say there is a 50% chance of me being a quantum computing expert. Your observation shall determine!

Break

Kandinsky Patterns for Visual Concept Learning
15:00 - 15:45
Anna Saranti
Artificial Intelligence
15:00 - 15:45
AI & Blockchain Stage

Kandinsky Patterns for Visual Concept Learning

Theme: Artificial Intelligence

Starting with the necessity and relevance of Explainable AI methods, we will introduce the notion of causability and its additional value over explainability. Kandinsky figures and Kandinsky patterns are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in artificial intelligence. With the help of Kandinsky patterns, we can develop explanations and IQ-Tests for AI in the medical domain. We will display an already worked out case, where a neural network implemented in TensorFlow has learned a visual concept. Real-time interaction with a prepared Colab notebook and explanation of the learned internal representations will be shown during the presentation.

Anna Saranti

Doctoral student, Graz University of Technology (TU Graz)

Anna Saranti is employed at the Medical University Graz in the FWF Project P-32554 'A reference model of explainable AI for the medical domain', and a doctoral student at TU Graz, supervised by Prof. Dr. Andreas Holzinger, where she also completed her Masters’ in Computer Science with distinction with a thesis on 'Applying Probabilistic Graphical Models and Deep Reinforcement Learning in a Learning-Aware Application'. Anna is currently employed in the FWF Project P-32554 'A reference model of explainable Artificial Intelligence for the Medical Domain” and has been working as tutor for machine learning at both the TU Graz and TU Vienna. Anna has experience as a software developer and data scientist in several industrial companies, most notable of them being 'raicoon' - the first autonomous operations center for renewable energy.

Break

AI Detectives: Criminal Investigation at Scale
16:00 - 16:30
David Weichselbaum
Artificial Intelligence
16:00 - 16:30
AI & Blockchain Stage

AI Detectives: Criminal Investigation at Scale

Theme: Artificial Intelligence

For the first time in history, nearly all criminals carry in their pockets little evidence-gathering devices -- voluntarily! Like all of us, they leave traces of their doings in local and cloud storage and happily produce highly incriminating data against themselves. One might think that this is a dream come true for law enforcement. Far from it! Where yesterday it sufficed to search a binder of documents, today millions of digital data points have to be connected by the investigator. Tomorrow it could become unfeasible to even view most of the evidence.Like with many things, the current machine learning spring offers a supposed panacea to this.T3K-Forensics will talk about their current work in forensic automation, problems, solutions, privacy and the future of investigation.

David Weichselbaum

Chief Science Officer, T3K-Forensics

David Weichselbaum has a background in molecular biology and machine learning.
Before joining T3K-Forensics he was involved in startups producing genetically modified yogurt and financial prediction AI.
His work as T3K's chief science officer is heavily influenced by his academic research in quantum chemistry and protein simulation.

Business Stage
Business Stage
Startup Finance & Acceleration Opportunities in Austria
09:45 - 10:30
Henrietta Egerth & Bernhard Sagmeister & Gerhard Hirczi & Marcus Ihlenfeld & Denise Mandt
09:45 - 10:30
Business Stage

Theme: Executive

Henrietta Egerth

Managing Director, FFG (Austrian Research Promotion Agency)

Henrietta Egerth studied commercial science at the University of Linz and then she worked for some years in Brussels. On her return to Vienna, she worked for the Federation of Austrian Industry before moving to the Ministry of Economics and Labour in 2000, where she was responsible for business promotion and research and development. Since 2004 Henrietta Egerth is Managing Director of the Austrian Research Promotion Agency FFG.

Theme: Artificial Intelligence

Bernhard Sagmeister

Managing Director, AWS

Since July 2009 Bernhard Sagmeister serves as Managing Director of Austria’s Federal Promotional Bank ”Austria Wirtschaftsservice GmbH”
(aws) and the ERP-Funds (European Recovery Program). Furthermore, he chairs the “aws Venture Funds” and Austria’s “National Foundation for Research, Technology and Development” (NFTE). Bernhard Sagmeister draws on over 25 years of professional experience in the financial and banking industry. In addition to his current appointment at AWS Bernhard Sagmeister is affiliated to the supervisory board of the Austrian Bank for Tourism Development (ÖHT), member of “Austria´s External Economic Relations Advisory Board” (Federal Chamber of Commerce, Austria) and board member of Austria’s “Water and Waste Management Association”. Since June 2015 he also serves as Chairman and President of European Association of Guarantee Institutions (AECM).

Theme: Executive

Gerhard Hirczi

Managing Director, Vienna Business Agency

Gerhard Hirczi has been leading the Vienna Business Agency as its Managing Director since 2009. Following his graduation in macroeconomics at the University of Graz, he started his career with a Viennese consulting company in 1985. From there he changed into the department of economics of the Austrian federal chancellery and later joined the Cabinet of the former chancellor Franz Vranitzky as a consultant for economic policy. From 1997 to 2000, Gerhard Hirczi acted as Siemens Austria’s secretary general, and later as Head of Group HR for Siemens´s CEE cluster, overseeing a staff of over 40.000.

Theme: Business Stage

Marcus Ihlenfeld

CEO & Owner, woom GmbH

Marcus Ihlenfeld was born in Germany and received a sports scholarship to study Business Administration in the US. He then spent 15 years working in the automobile sector. After five years in Zurich he moved to Vienna. Upon becoming a father, long-time cycling enthusiast Marcus started looking for a good children's bike – but was unable to find one. Therefore, in 2013 he founded the company woom together with his business partner Christian Bezdeka in a garage in Vienna. The bicycles, which they initially assembled themselves, quickly became very popular. Today, woom is present in 30 countries around the world and has 100 employees.

Additive Manufacturing

Theme: Artificial Intelligence

We live in a fast-changing world where everything gets smaller and more powerful. Therefore, demand for polymeric microparts and meso-objects with microfeatures increas rapidly. This trend not only sets new requirements for the components but also on the manufacturing techniques. UpNanos ultrafast small high-resolution 3D printing system combines highest resolution and unmatched throughput in a patented process – opening up a new dimension in 3D printing. Denise Mandt is one of the founders of UpNano and manages marketing and sales of the young high-tech company. She will give us an insight into what it means to establish a new technology on the market and how it was for them to found a university spin-off in Austria.

Denise Mandt

Head of Sales Marketing, UpNano GmbH

Break
10:30 - 11:00

Gerhard Hirczi Intro Speech
11:00 - 11:15
Business Stage

Theme: Executive

Gerhard Hirczi

Managing Director, Vienna Business Agency

Gerhard Hirczi has been leading the Vienna Business Agency as its Managing Director since 2009. Following his graduation in macroeconomics at the University of Graz, he started his career with a Viennese consulting company in 1985. From there he changed into the department of economics of the Austrian federal chancellery and later joined the Cabinet of the former chancellor Franz Vranitzky as a consultant for economic policy. From 1997 to 2000, Gerhard Hirczi acted as Siemens Austria’s secretary general, and later as Head of Group HR for Siemens´s CEE cluster, overseeing a staff of over 40.000.

Artificial Intelligence: Revolutionizing Industrial Organisations (hosted by Crayon)
11:15 - 11:45
Florian Rosenberg & Dr. Frank Lulei & Leo Shiwei Li
11:15 - 11:45
Business Stage

Theme: Executive

Florian Rosenberg

Technical Director, Crayon

Florian Rosenberg is the Technical Director of Crayon’s AI Center of Excellence for Europe where he leads the data science and engineering teams and owns the overall technical strategy. He has a strong passion for making businesses successful with AI and Machine Learning. Before joining Crayon, he worked in several leadership roles across the globe and spent a significant portion of his career building innovate cloud and AI products for IBM Watson, for example, Deep Learning as a Service. Florian earned his PhD in Computer Science from TU Wien, holds 6 patents and published several highly cited academic papers.

Theme: Business Stage

Dr. Frank Lulei

Director Digitalisation, STRABAG AG

Frank has a background in physics and civil engineering. His career covers a wide range of construction business: structural design as well as contract- and risk-management on site. First at Bilfinger Berger and since 2010 at Strabag he was in charge for projects all over the world, e.g. in Nigeria, USA, Bulgaria, India, Israel and UK. In 2018 Frank joined the new established subdivision ‘digitalisation’. His main interests are applied research and development at the frontier of
digitalisation in the Strabag Group. In particular, data analysis and applications of AI. Frank is 50 years old and lives in Vienna.

Leo Shiwei Li

President, Tencent Cloud Europe

Shiwei Li is President at Tencent Cloud Europe and responsible for the expansion of China’s biggest internet company into Europe. Before joining Tencent Cloud in 2018, Shiwei Li was leading international teams at Huawei Technologies in the APEC region and Europe, where he gained rich experience in the international expansion of Chinese companies for almost two decades supporting Huawei’s globalization strategy.Today he is a renowned thought and business leader in the IT and Cloud computing industry who combines a deep technological and cultural understanding.Leading several teams during the past 17 years allowed Shiwei Li to develop a deep understanding of different industries such as Internet, automotive, telecommunications, retail, finance, media and entertainment. Leading teams overseas enabled him to develop a deep understanding of different cultures and close relationships with business leaders in China, Asia Pacific, and Europe.

Female Role Models in Tech ( Skills, Mentorship & Funding )
11:45 - 12:30
Claudia Viehweger & Sophie Seiwald
11:45 - 12:30
Business Stage

Theme: Artificial Intelligence

Sophie Seiwald

CEO, Mercedes Benz.io

Sophie is heading Mercedes Benz.io as CEO since beginning of 2018. Before joining Mercedes Benz.io, Sophie was building up the Digital Hub for the Daimler Financial Services Division in Singapore. Previously she was engaged in building one of MercedesBenz biggest Car Production Plants in the world in Beijing. Sophie is 35 years old and born and raised in Austria. She currently lives in Stuttgart.

Female Role Models in Tech ( Skills, Mentorship & Funding )
11:45 - 12:30
Claudia Viehweger & Sophie Seiwald
11:45 - 12:30
Business Stage

Theme: Artificial Intelligence

Sophie Seiwald

CEO, Mercedes Benz.io

Sophie is heading Mercedes Benz.io as CEO since beginning of 2018. Before joining Mercedes Benz.io, Sophie was building up the Digital Hub for the Daimler Financial Services Division in Singapore. Previously she was engaged in building one of MercedesBenz biggest Car Production Plants in the world in Beijing. Sophie is 35 years old and born and raised in Austria. She currently lives in Stuttgart.

Lunch Break
12:30 - 13:00

Lunch Break
12:30 - 13:00

Talk from Marcus Kapun
13:00 - 13:30
Marcus Kapun
13:00 - 13:30
Business Stage

Theme: Executive

Marcus Kapun

Chief Digital Officer, BAWAG P.S.K.

Marcus Kapun is the Chief Digital Officer (CDO) of Bawag P.S.K. He is responsible for the complete process of design, analysis, development and quality assurance of all digital retail products of the Bawag Group. In his division, he enrolled a fully-fledged agile working and organizational model ('Spotify-Model') with accountability for both, business-related topics and targets, as well as implementing cutting-edge technology based on latest frontend developments (micro-frontends), and micro-service- architecture, but also core banking system. Digital Strategy, Innovation and Fintech cooperation/partnerships are also equally important topics in his area.
Marcus joined Bawag P.S.K. in 2006, working in different roles with his most recent positions as Head of Strategy and Head of Digital Banking. Earlier in his career, he was Executive Assistant to the management board of a .com -company in Vienna. Born in Styria, Austria, he studied Management and Business Administration at the University of Applied Science Vienna (FH Wien) and is a CFA Charterholder since 2014.

Break

What Do Developers Want From Employers? - The Results of the WeAreDevelopers Survey
13:45 - 14:45
Ellie Tzortzi & Ana Gospodinova & Werner Müller & Ulrike Vonderhaid & Stefan Mey
13:45 - 14:45
Business Stage

Theme: Cloud Computing

Ellie Tzortzi

Partner, MindTake Research

What are developers really like as colleagues and employees? What are they looking for in a job, and how can you keep them happy?  Going beyond the clichés of nerds running on pizza and computer games, the annual Developers Survey offers valuable insight to employers looking to attract and retain the best tech talent from around Europe. Ellie Tzortzi, Partner at digital market research pioneers MindTake Research, will present the results of the 2019 survey conducted over the summer among participants of the WaD conference in Berlin. Ellie has a background in journalism and a degree in design from Parsons.

Theme: Business Stage

Stefan Mey

Chefredakteur, Der Brutkasten

Stefan Mey is editor in chief of der brutkasten, Austria's media platform for startups and innovation. He is an experienced business- and tech-journalist, who previously worked for WirtschaftsBlatt, trend, Horizont and futurezone. He has been reporting on startups for more than a decade, as well as on various business- and technology-trends.

Werner Müller

Responsible for Startups and SMEs, Digitalisation Agency

Werner is part of the Austrian Digitalisation Agency-team, that has been installed by the federal government in 2018 to face the challenges of digital transformation and shape the digital future of Austrias economy. His focus is on supporting start-ups and SMEs to ensure growth in a more and more digitalized environment.  In a second role he is supporting start-ups in Austria regarding targeted funding programmes and services for innovation and R&D projects as the DIA is a department of the Austrian Research Promotion Agency (FFG) – the national funding agency for industrial research and development in Austria.Werner has over 15 years of experience in telco-, media- and digital industries working for A1, UPC, bwin, Virtual Identity, bwin, Publicis or TBWA\.

Ulrike Vonderhaid

Deputy Head SME Unit, Ministry for Digital and Economic Affairs

Ulrike Vonderhaid studied law at the University of Vienna and started in July 2013 to work in the Federal Ministry for Digital and Economic Affairs in different areas. Since January 2019 she is now responsible for SME policy on national and European level.

Day 1 – 28.11.2019

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Main Stage
Main Stage
Registration
07:30 - 09:30

Congress Opening

Next-generation technologies
09:45 - 10:30
Tanmay Bakshi
Artificial Intelligence
09:45 - 10:30
Main Stage

Next-generation technologies: developers to users and developers to developers

Theme: Artificial Intelligence

Machine learning technology is helping make the lives of millions worldwide simpler, safer, more enjoyable, and overall better. Developers are at the heart of this change in how we use technology. However, there are some fields where this technology makes more impact than others, and my passion lies in, and I think it makes most sense to apply this technology in healthcare, education, and development! In my keynote, I'll be showcasing and demoing a few of my projects in these fields. Particularly, I'd like to show off the flexibility of machine learning, and how developers can not only apply it to create better applications, but to make their own lives easier as well.

Tanmay Bakshi

AI expert at age 15, IBM Cloud Advisor

Tanmay Bakshi is a 15 year-old Canadian author, AI/Machine Learning expert, TED and keynote speaker, Honorary IBM Cloud Advisor, and a media personality who has addressed over 200,000 executives, leaders, intellectuals, and developers at international conferences, universities, and multinationals worldwide. His passion to develop algorithms and to work with machine learning lead him to apply this tech mainly in the fields of education and healthcare. His goal is to help at least 100,000 aspiring coders in learning how to code and innovate through his books, workshops and seminars. Tanmay’s YouTube channel called “Tanmay Teaches” and his consistent work towards his goal for the past 8 years has earned him numerous recognitions such as Knowledge Ambassador Award, IBM Champion for Cloud, Google Developer Expert for Machine Learning, Twilio Doer award, and Global Goodwill Ambassador at Linkedin, to name a few.

Break

From on-premise to the cloud
10:45 - 11:30
Marcus Granström
Cloud Computing
10:45 - 11:30
Main Stage

From on-premise to the cloud - Why Klarna moved everything to the cloud and how we have gained speed and momentum by doing it.

Theme: Cloud Computing

Two years ago we decided to move everything to the Cloud. In his keynote, Marcus Granstörm, Senior Director Engineering at Klarna, will elaborate on the learnings and the winnings of moving everything to the cloud. How speed played a monumental role in this and how DevOps takes the central stage in this.

Marcus Granström

Senior Director of Engineering, Klarna

Marcus Granström is a Senior Engineering Director at Klarna, one of the world's leading payment providers. Klarna provides merchants with a flexible range of preferred payment alternatives that enable consumers to easily and securely pay when and how they want everywhere – online and in-store. Klarna currently holds a post money valuation of $5.5 billion, which ranks Klarna as the largest private fintech in Europe and one of the largest private fintechs globally.
Granström leads a large number of teams building the Products and Tools that consumers and merchants love. Having been with Klarna for almost five years Marcus has seen most of what Klarna has to offer and have been part of the journey to grow from a 200 engineering department to one that is 1200+.

Break

Testing smarter, not harder with AI
11:45 - 12:30
Gerta Sheganaku
Artificial Intelligence
11:45 - 12:30
Main Stage

Testing smarter, not harder with AI – a realistic overview of what is possible today

Theme: Artificial Intelligence

To meet the quality needs and challenges of a fast-paced future driven by ever shorter release cycles and trends like IoT and robotics, our testing approaches need to match up. Continuous Testing is currently bridging the gap between development and operations, but we are fast approaching a time when Continuous Testing will be unable to keep pace with shrinking delivery cycle times, increasing technical complexity, and accelerating rates of change. AI, imitating intelligent human behavior for machine learning and predictive analytics, can help us to overcome these challenges. In this talk, we will highlight application areas in which AI can help across different stages of the software quality lifecycle, from test design, redundancy prevention, and defect detection, up to finding and steering the right controls and providing a resilient test automation. We will discuss the areas in which we are already using basic forms of AI and what is still to come in the field of software quality assurance. We need to continue the testing evolution in order to achieve the efficiency needed for testing of robotics, IoT, and similar trends. We will give a realistic perspective of what can and cannot be achieved in the near future and will discuss how we can make use of advanced algorithms like automated test portfolio optimization, self-adjusting risk assessment, automated defect diagnosis, or smart environment provisioning, which may still lack the self-learning component to be classified as AI, but can help bridge the gap between the current state of continuous testing and a future state of AI-based testing.

Gerta Sheganaku

Digital Transformation Strategist, Tricentis

Gerta started her career early on during her studies of computer science at TU Vienna. As a project manager for process automation projects she developed the vision and roadmap for production data analytics and predictive maintenance solutions for industry customers. She initiated and led a cross-organizational R&D project funded by the Vienna Business Agency, focusing on quality analysis of manufacturing processes, and presented their work in the context of recent IT market trends at industry.tech15, the Austrian symposium on Industry 4.0.
Gerta currently works as a Digital Transformation Strategist at Tricentis, an Austrian unicorn startup with solutions for Test Automation, Test Management, and Robotic Process Automation. She helps her customers develop strategies from a people, process and tooling perspective to make testing a key enabler for their digital transformation journey.

Lunch Break
12:30 - 13:15

Lunch Break
12:30 - 13:15

The Fake News Arms Race
13:15 - 13:45
Or Levi
Artificial Intelligence
13:15 - 13:45
Main Stage

The Fake News Arms Race: How AI Can Create – and Detect – Fakes

Theme: Artificial Intelligence

Recent advancements in AI have made powerful content-manipulation tools - that can create realistic images and videos - accessible to the public. Deep-Fakes have already undermined trust in democracy, incited violence and damaged the reputation of brands and individuals. This has motivated the research of technologies that can catch the fakes, such as AdVerif.ai. In this session, Or Levi - Founder of AdVerif.ai, will take us through the emerging Fake News arms race, between “Bad AI” for generating fakes and “Good AI” for detecting them. Learn how AI can help fight Fake News with a spectrum of tools, ranging from Machine Vision for detecting manipulated images to Natural Language Processing for identifying psycho-linguistic features, and data pipelines for Deep Learning at the scale of billions of items.

Or Levi

Data Science Team Lead, eBay

Through his work as a Senior Data Scientist at ebay, Or aims to help users find the items they are looking for and get inspired by ebay’s unique selection, whether it’s on the search results page, or the homepage feed, using personalized and relevant recommendations. In the last year, he received the ebay Excellence in Innovation Award and authored the first ever paper at ebay Classifieds Group to be accepted to an ACM conference.
Or’s strongest passion is using AI for social impact, which has led him to found AdVerif.ai – with the purpose of fighting the spread of misinformation online. It was recently named among CB Insights’ 2019 International Game Changers – startups with potential to transform society and economies for the better.

Break

Data-Driven Process Optimisation at Mondi
14:00 - 14:30
Jillian Augustine
Internet of Things
14:00 - 14:30
Main Stage

Data-Driven Process Optimisation at Mondi

Theme: Internet of Things

Organisations as diverse as consumer brands, service providers, and vertical manufacturers like Mondi are becoming more aware of the importance of data in their daily business. The big opportunity for digital is to change existing processes, which goes beyond process automation or continuous process improvement approaches. This session will provide insights into newly defined data driven processes and IoT based data analytics as the main enabler, as well as the required actions for change management.

Jillian Augustine

Data Scientist, Mondi Group

Jillian Augustine is a data scientist with Mondi and a self-described ‘question answerer’.
'I am passionate about improving data understanding and communication with both stakeholders and within data teams,' Jill says. 'My professional approach to data science is to use the tool that gets the job done given the constraints from team members and stakeholders. Another interest of mine is increasing the inclusivity of working groups through open exchanges and active diversification.'
Jill leads Mondi’s data science community and, together with her team, uses data science to support sustainable packaging and paper manufacturing. She worked as a data scientist in the telecommunication industry prior to joining Mondi. Jill has a Ph.D. in Molecular Biology from the University of Vienna (Austria). She earned her BSc from the University of Leeds (UK) including studies at McGill University in Montreal, Canada.

Break

Deep Learning for Mobile devices
14:45 - 15:30
Siddha Ganju
Artificial Intelligence
14:45 - 15:30
Main Stage

Deep Learning for Mobile devices

Theme: Artificial Intelligence

Over the last few years, convolutional neural networks (CNN) have risen in popularity, especially in the area of computer vision. Many mobile applications running on smartphones and wearable devices would potentially benefit from the new opportunities enabled by deep learning techniques. However, CNNs are by nature computationally and memory intensive, making them challenging to deploy on a mobile device. We explain how to practically bring the power of convolutional neural networks and deep learning to memory and power-constrained devices like smartphones. We’ll illustrate the value of these concepts with real-time demos as well as case studies from Google, Microsoft, Facebook and more. You will walk away with various strategies to circumvent obstacles and build mobile-friendly shallow CNN architectures that significantly reduce memory footprint.

Siddha Ganju

Solution Architect, Nvidia Corporation

Siddha Ganju, who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. A graduate from Carnegie Mellon University, her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. Serving as an AI domain expert, she has also been guiding teams at NASA as well as featured as a jury member in several international tech competitions.

Break
15:30 - 16:00

Deep Learning Methods for Large Scale Personalization
16:00 - 16:30
Noa Barbiro
Artificial Intelligence
16:00 - 16:30
Main Stage

Getting Personal: Deep Learning Methods for Large Scale Personalization

Theme: Artificial Intelligence

Booking.com is one of the world's largest online companies, empowering the millions of people visiting our website or application to choose the right accommodation and travel experience among one of our 29M+ listings in 200+ countries. How can personalization be achieved in such a high scale, and to what extent does machine learning play a role? In this talk I’ll introduce the concept of Machine Learning, focusing on Deep Learning and cover the challenges and application of handling personalization using different methods such as Computer Vision and Sequence Models (NLP) to succeed in this task. Join me as I walk-through the personalization concepts using deep learning and other machine learning applications, the role of a business or product manager in building machine learning solutions as well as the unique Booking.com experimentation culture that enables a measurable success.

Noa Barbiro

Group Product Manager Data Science, Booking.com

Noa Barbiro is a Group Product Manager Data Science at Booking.com Tel Aviv, with over a decade of experience with leading product development in Israel and the US.
At Booking.com, Noa is leading applied machine learning product teams focusing on computer vision, NLP and voice-to-text transcription.
In addition, Noa leads a mentoring program at the non-profit organization ‘LeadWith – Women Leading Tech’ to encourage women’s professional growth.

Break

Real-world blockchain apps; challenges and solutions
16:45 - 17:30
Cees van Wijk
Blockchain
16:45 - 17:30
Main Stage

Real-world blockchain apps; challenges and solutions

Theme: Blockchain

With the first blockchain and Distributed Ledger applications going live this year Cees will explain the technical challenges ING blockchain faced and how they resolved them. This talk will cover code examples and live demo using Corda Distributed Ledger Technology (DLT) and Kotlin. Specifically, the audience will learn: - How Corda works, how it’s both similar and different to Blockchain technology. and why we like it so much. - How we do Continuous Deployment of smart contracts (that by definition are immutable and are operated by multiple organizations..) - How keep confidential information secret in a distributed ledger (that needs to share information with many organizations in order to allow decentralized validation. - How we meet our performance goals (using a technology that needs to reach consensus on a globally deployed network) - How we reliably integrate Blockchain applications with our traditional IT systems.

Cees van Wijk

Blockchain Engineer, ING-DiBa AG

Cees is Blockchain Engineer in ING’s Blockchain and Distributed Ledger Technology chapter. In that role he engineers real world Blockchain applications various blockchain platforms such as Corda, Ethereum and Corda. Besides that he worked on Blockchain research such as ING’s Zero Knowledge Range-Proof in Ethereum.

Closing
17:30 - 18:00

IoT & Cloud Stage
IoT & Cloud Stage
Break

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1
10:45 - 11:15
Vladimir Nisevic & Pablo Kübber
Cloud Computing
10:45 - 11:15
IoT & Cloud Stage

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1

Theme: Cloud Computing

Due to our long history A1 faces a multitude of different systems and heterogeneous landscape resulting in numerous different frontends and inconsistent UX.Based on this actual situation and challenges in the A1 IT organization we want to present how new technologies and developing models result in high-quality UX for our customers and users and at the same time transforms our IT landscape to fit in our agile organization and ways of working.We present our microfrontend platform based on JS running in Kubernetes where many teams can build a better UX experience for our customers and users.This is not only about technology and cloud but also about organizational aspects – how to engage current development teams to contribute at their best which means giving them the highest possible autonomy they are used to and are keen on in their daily work.

Vladimir Nisevic

IT Architekt, A1 Telekom Austria

A passionate software craftsman with more than 25 years experience in building software and transforming organization towards agile.
Works in A1 for more than 17 years on various large scale projects, with focus on modernization of IT landscape, building development teams, introducing CRM platforms, executing agile transformation.
Prior to joining A1, worked as software consultant developing CRM software with focus on banking and insurance industry.
Holds a Master Degree in Telecommunication, studied at Vienna University of Technology.

Using JS based cloud native microfrontends to drive the IT stack transformation in the A1

Theme: Cloud Computing

Due to our long history A1 faces a multitude of different systems and heterogeneous landscape resulting in numerous different frontends and inconsistent UX.Based on this actual situation and challenges in the A1 IT organization we want to present how new technologies and developing models result in high-quality UX for our customers and users and at the same time transforms our IT landscape to fit in our agile organization and ways of working.We present our microfrontend platform based on JS running in Kubernetes where many teams can build a better UX experience for our customers and users.This is not only about technology and cloud but also about organizational aspects – how to engage current development teams to contribute at their best which means giving them the highest possible autonomy they are used to and are keen on in their daily work.

Pablo Kübber

Solutions Architect, A1 Telekom Austria

Born in Santa Cruz - Bolivia on 28.04.1970. In 1989 he came to Vienna to study electrical engineering and computer science. For years as an independent developer, software consultant and IT architect working in various projects and industries. However, the greatest knowledge and strengths are in the telecommunications industry with over 16 years of experience in the field. From 2002 to 2009 employed as business consultant and IT architect at IBM Austria. Since 2010 working for A1 Telekom in various large transformation projects. He is currently the architect of Selling, where he helps to shape the transformation of the A1 IT landscape.

Break

Are you on the Edge? Or still in the Cloud?
11:30 - 12:00
Josef Hammer
Cloud Computing
11:30 - 12:00
IoT & Cloud Stage

Are you on the Edge? Or still in the Cloud?

Theme: Cloud Computing

This talk is about Edge Computing. As with the transition from mainframes to desktop computers, in the upcoming years a lot of processing will move from the cloud to the edge of the network, i.e. closer to the user. This will particularly affect areas with high data volume (IoT, AI) and low latency requirements (IoT).In this session, I will give a short introduction to this exciting new area and its benefits and use cases. Furthermore, I'll show which frameworks and tools developers can use right now (Amazon IoT Greengrass, Microsoft Azure IoT Edge, ...) and where we might be headed. Finally, I'll address the upcoming 5G networks where edge computing will be a first-class citizen.

Josef Hammer

Edge Computing / 5G Networks Expert, Institute of Information Technology – University of Klagenfurt

Josef is a highly results-driven software engineer with 27 years of experience in software development, currently specializing in edge computing respectively 5G networks. He got to lead projects at AVL, and research and design software platforms at CERN. Now he has one of the most advanced 5G playgrounds at his fingertips at the Lakeside Labs as a senior researcher at the University of Klagenfurt. But he strongly believes that developments need to be pragmatic and satisfying also from a business standpoint. That's why he leaped at the opportunity to enjoy extensive advanced training at Stanford and Harvard University as well as the Copenhagen Business School.

Lunch Break
12:00 - 12:45

How to build connected products
12:45 - 13:30
Simon Seres
Internet of Things
12:45 - 13:30
IoT & Cloud Stage

IoT THAT MATTERS

Theme: Internet of Things

How to build connected products, that speak to other products without dependcy of IoT clouds (full privacy, reliability, speed, and trust)? How to build products that have the quality level of a smartphone? I will insert success stories of products using our stack and advertise it to developers, so they can use our open stack to impress their bosses or customers.

Simon Seres

CEO & Co-Founder, nymea.io

Simon Seres is the CEO and Cofounder of the open platform nymea.His vision of independent and transparent IoT products influenced numerous digital strategies. Together with some of the brightest minds in the field, he established a comprehensive new perspective on the future of connected things. Every morning he gets up with the mindset of digital freedom and only creates products that aren't locked into a single vendor. nymea is a low-footprint middleware to connect an IoT product with multiple IoT services/clouds/products independently and radically minimizes integration efforts.

Networking Break

Shifting Container Security Into Overdrive with Prisma Cloud and Computing Edition (AKA Twistlock)
13:45 - 14:15
Christopher Feussner
Internet of Things
13:45 - 14:15
IoT & Cloud Stage

Shifting Container Security Into Overdrive with Prisma Cloud and Computing Edition (AKA Twistlock)

Theme: Internet of Things

In this session, we will look into the big picture with container, registry and orchestration, and pipeline integration. We will talk about the roles each team - spanning DevOps, infrastructure, and security - play in securing modern applications. You will learn the best practices to integrate container security across the application lifecycle at scale?

Christopher Feussner

Security Engineer, Palo Alto Networks

Christopher is a Security Engineer in the Prisma Cloud EMEA team at Palo Alto Networks. He works with customers and organizations to secure their journey into the cloud. Christopher loves to build holistic cloud security architectures to implement the best prevention for each cloud stack. Before joining Palo Alto Networks, Christopher was a Systems Engineer at Brocade Communications and Enterasys Networks.

Break

From CLI to APIs: You can easily talk to your network now
14:30 - 15:15
Flo Pachinger
Internet of Things
14:30 - 15:15
IoT & Cloud Stage

From CLI to APIs: You can easily talk to your network now

Theme: Internet of Things

How you manage your IoT network infrastructure is changing from classic CLI towards a more API-fun way! This session will tell what is nowadays possible with tools like RESTCONF, NETCONF, gRPC and YANG data models to monitor, configure and manage gateways and other network components. It will also cover on how you can leverage these technologies with real-life use-cases, e.g. Connected Machines in IIoT. To make it more fun, there will be a demo about how you can talk to or manage your devices via a chatbot.

Flo Pachinger

Developer Advocate, Cisco DevNet

Florian (or Flo) is a Developer Advocate at Cisco DevNet focusing on IoT and Network Programmability. With a software and networking background he is working since a couple of years on many IoT projects mostly in Germany. DevNet leads the Developer Community within and outside of Cisco and covers information for APIs, DevOps, applications, automation and infrastructure management.

Break
15:15 - 15:45

The road to kubernetes
15:45 - 16:30
Mario Žagar
Cloud Computing
15:45 - 16:30
IoT & Cloud Stage

The road to kubernetes.

Theme: Cloud Computing

Infobip messaging platform runs in 15+ datacenters with 400+ application running on it. Every minute some change is deployed to production by one of our 20+ dev teams and we want to need a stable platform that also enables us to deploy often and in a safe manner. In this talk I will present our motivation to start the switch from running our services on a custom built platform to running them on kubernetes. I will discuss the specific challenges we needed to overcome to start this process, how we did it, where we are now and what are our next steps on the road to kubernetes.

Mario Žagar

Principal Engineering Architect, Infobip

As Infobip's Principal Engineering Architect, Mario is currently working on the implementation of Kubernetes as the next-generation platform that Infobip products will run on. Mario is passionate about software architecture, design patterns, real-time systems, agile methodology, and is enthusiastic about the field of service reliability. He joined Infobip ten years ago, and during that time, he had the opportunity to be involved in the creation and development of most Infobip products.

Closing
16:30 - 17:00

AI & Blockchain Stage
AI & Blockchain Stage
Break

Attacking Machine Learning Methods Used for Detection of Cyber Attacks
10:45 - 11:30
Jelena Milosevic
Artificial Intelligence
10:45 - 11:30
AI & Blockchain Stage

Attacking Machine Learning Methods Used for Detection of Cyber Attacks

Theme: Artificial Intelligence

The number of users of connected devices and complexity of communication networks is increasing. This rises the interest of attackers since there is more information to gain access to. At the same time, it makes network traffic analysis based on detection and prevention of cyber-attacks inherently complex.In order to enable effective detection of cyber attacks, many machine learning methods are proposed. Main reasons are that they scale well with the increased amount of information, they are fast and, at the same time, provide opportunity to protect network users not just from known threats but also unknown variants of previous attacks (big advantage in comparison to previously used signature-based detectors). However, recent research on security of machine learning shows that there are various inherent properties of machine learning methods that allow attackers to bypass these methods once deployed in practice.In this talk, I will first discuss machine learning methods suggested for detection of cyber attacks and discuss their detection performance. Then, I will show how to perform few recently proposed attacks on these machine learning methods and how such attacks can affect previously observed detection performance. Finally, I will outline current open problems in security of machine learning and detection of cyber attacks.

Jelena Milosevic

Projektass. Dipl.-Ing. Dr.techn., TU Wien

Jelena is a PostDoc at the Institute of Telecommunications, TU Wien, where she works on detection of cyberattacks in communication networks and adversarial machine learning. She obtained her Ph.D. in 2017 from the Faculty of Informatics, University of Lugano, Switzerland, where her main focus was on machine learning for resource-constrained devices. Previously, she was an intern at Intel and IBM Labs, where she worked on deep learning for embedded systems and time-series analysis for anomaly detection.

Break

Real Data vs. Anonymization
11:45 - 12:15
Matthias Lichtenthaler
Artificial Intelligence
11:45 - 12:15
AI & Blockchain Stage

Real Data vs. Anonymization - Prerequisits for AI and Machine Learning

Theme: Artificial Intelligence

Quality assurance for anonymization-software is a critical factor for a sustainable use of Artificial Intelligence. Questions about the comparativeness of efforts to anonymize data and overdoing anonymization have to be raised for adequate use of anonymization-software. BRZ experts will discuss these questions and further present anonymization principals and technical validation methodologies.

Matthias Lichtenthaler

Head of Digital Government & Innovation, Austrian Federal Computing Centre

Matthias Lichtenthaler (PMP) serves as the Head of Digital Government & Innovation of the Federal Computing Center of Austria. He leads the key activities to execute a holistic Digital Transformation approach for the public sector in Austria. He coordinates various Initiatives as part of the Digital Roadmap for Austria – including Public-Private Partnership Solutions bridging between Public and Private Sector.
During many years of project management in the area of Project, Document & Data Management he developed extensive experience in Capital Project Management, Content Analytics and Process Automation. Currently, he works with a certain focus on adapting latest technology trends like AI and Blockchain for the public sector. Altogether he can reflect upon 18 years of experience within IT Management. Previously he led the Digital Business at Accenture in Austria.

Lunch Break
12:15 - 13:00

Common Pitfalls in Computer Vision Project
13:00 - 13:45
Ronald Luc & Sanchit Singh
Artificial Intelligence
13:00 - 13:45
AI & Blockchain Stage

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Ronald Luc

ML Research Engineer, Sclable

Experienced Machine Learning Engineer, Python back-end and C++ algorithms developer, blogger. Successfully developed and deployed Deep Learning solutions in NLP, computer vision and sound processing. Won several algorithmic competitions and ML hackathons.

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Sanchit Singh

Computer Vision Lead, Sclable

Experienced data scientist with a special focus on Computer Vision, Image Processing, Machine Learning and Deep Learning.

Common Pitfalls in Computer Vision Project
13:00 - 13:45
Ronald Luc & Sanchit Singh
Artificial Intelligence
13:00 - 13:45
AI & Blockchain Stage

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Ronald Luc

ML Research Engineer, Sclable

Experienced Machine Learning Engineer, Python back-end and C++ algorithms developer, blogger. Successfully developed and deployed Deep Learning solutions in NLP, computer vision and sound processing. Won several algorithmic competitions and ML hackathons.

Common Pitfalls in Computer Vision Project

Theme: Artificial Intelligence

Mistakes in creating transfer learning solutions and how to overcome them. Unboxing the black-box-like behavior of the CNNs on stage.

Sanchit Singh

Computer Vision Lead, Sclable

Experienced data scientist with a special focus on Computer Vision, Image Processing, Machine Learning and Deep Learning.

Networking Break

Stop hackers before they start.
14:00 - 14:45
Anna Bacher
Artificial Intelligence
14:00 - 14:45
AI & Blockchain Stage

Stop hackers before they start. Deep Learning for detection and remediation of vulnerabilities in the programming code.

Theme: Artificial Intelligence

Challenges and choices we made while applying deep learning networks to automatically detect and remediate security vulnerabilities in the programming code.

Anna Bacher

CTO, Jaroona GmbH

Anna is the charismatic seasoned entrepreneur, CTO, developer and ethical hacker with 19 years of experience in developing, penetrating and selling complex systems for top 100 International banks, telecom and payment processors. She is a co-author of the patent in the field of software security. Anna works on the Jaroona project, together with one of the finest teams ever assembled in cybersecurity, ethical hacking, machine and deep learning.

Break

Hand moves recognition with iWatch and Swift
15:00 - 15:45
Milan Todorovic
Artificial Intelligence
15:00 - 15:45
AI & Blockchain Stage

Hand moves recognition with iWatch and Swift

Theme: Artificial Intelligence

iWatch enables acquiring a lot of data about moving your hand. Apple's CoreML and CreateML frameworks enable making of high efficient machine learning models to recognize the type and meaning of these movements. This lecture will provide an overview of the whole process when you want to use recognition of this moves in your apps.

Milan Todorovic

Swift/iOS Trainer & Software Engineer, Crossover

Milan is an Apple Certified Trainer, Consultant and Software Engineer, with long experience in software development and especially in training of developers of all levels of knowledge. He is deeply focused to Swift since the very beginning of life of this programming language. He works for Apple Authorized Training Centre - Crossover in Belgrade, Serbia. Passionately helping beginners, intermediate and experienced developers to improve their knowledge, in areas of general development, machine learning, augmented reality and other. Milan is also a sailboat skipper, combining development training with sailing with its goal to maximize motivation and knowledge adoption for attendees.

Break

What we need to do to continue advancing Deep Learning
16:00 - 16:30
Eric Steinberger
Artificial Intelligence
16:00 - 16:30
AI & Blockchain Stage

What we need to do to continue advancing Deep Learning

Theme: Artificial Intelligence

Machine Learning algorithms beat top humans in complex games like Go, Poker, and Dota 2. But to do so, they need many times more gameplay experience than humans could ever get. AI speaks our languages. But to do so, they need to read gigantic amounts of text. And so on. Recent progress was possible because of a 300.000x increase in AI compute over 6 years. This can't continue; even Google hits a limit at some point. How can we continue AI research without increasing compute and data?

Eric Steinberger

CEO & AI Researcher , Climate Science

Eric Steinberger's research focuses on Deep Reinforcement Learning. Since his first research appointment at age 18, he worked with MIT, TU Wien, and the University of Luxembourg to apply Deep Learning to complex real-world problems. His most recent project at MIT investigates how micro-lending in Africa could be improved by carefully designing game-theoretic incentives while keeping methods practical. Eric always loved science, but he never appreciated overcomplicated papers and reports. Therefore, he started giving talks introducing the technical sides of Deep Learning to a wider audience. His second area of interest is climate science, where he is also part of a team creating educational content for children.

Closing
16:30 - 17:00

Business Stage
Business Stage
Female Leaders who Drive Change
10:15 - 10:45
Gertrud Kolb & Mali M. Baum
10:15 - 10:45
Business Stage

Theme: Executive

Gertrud Kolb

CTO, Axel Springer Digital News Media

Gertrud is the CTO at SPRING, the Digital News Media Unit of Axel Springer SE. SPRING drives technology for the national media brands of the publisher Axel Springer and is responsible for more than 60 digital media products for 25 brands. Creating customer-focused, data-driven products to serve the audience best is what Gertrud deals with. Her aim is SPRING to become a tech player owning crucial technology in each part of the publishing value chain of digital journalism.

Theme: Artificial Intelligence

Mali M. Baum

CEO & Founding Partner, WLOUNGE and MAGDA GROUP

Mali is one of the People Shaping Female Founders Future and opportunities at the startups Ecosystem in Berlin and Germany, recently announced raising a new fund of funds, Magda Group FoF in Berlin with focusing on EU technology diverse team, building more success stories and uplifting the tech ecosystem in Europe and beyond. Mali has 20 years experience of founding companies. Started her first business in 2007 and followed this up with a global educational toys business, in Tel Aviv, which sold products in the US, Asia and across Europe. The products won numerous awards for innovation and design. Nominated for the ‘Digital Female Leader Award’ for 2017 and for 2018 and finalist for this year 2019. Mali is a regular speaker at conferences, a mentor and jury member of startup’s competitions, mentor at TechStars and other accelerators, actively involved in governmental activity and Corporate M&A to promote German tech ecosystem globally and locally. Lecturer at universities on entrepreneurship, diversity and international business in Berlin, Business angel, Mali has a lot of investments knowledge as a business angel and growth in startups.

Break

Talk from Martin Gutberlet
11:00 - 11:15
Business Stage

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

Talk from Martin Gutberlet
11:00 - 11:15
Business Stage

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

BMDW - Intro talk
11:15 - 11:30
Business Stage

Theme: Business Stage

Stefan Schmidt

Strategy & Demand Manager, Austrian Ministry for Digital and Economic Affairs

As Digital Business Strategist & Change Manager Stefan works closely together with his partners to improve organizations and services through sustainable change and technology. He is known for his strong focus on customers, their experience and their satisfaction. A skill Stefan learned during his past engagements in the pharmaceutical and IT industry. He gained experience as Business Analyst, Trainer and IT Manager. He holds degrees in informatics as well as in IT Law and Management, which helps him solve problems from many different perspectives. In his spare times, he serves a pretty good pasta and plays a bad forehand in tennis.

Reinventing Business Models with Artificial Intelligence (hosted by Crayon)
11:30 - 12:15
Rune Syversen & Martin Gutberlet & Denis Filazafovitch & Andreas J. Ludwig & Wolfgang Ebner
11:30 - 12:15
Business Stage

Theme: Executive

Rune Syversen

CEO & Co-Founder, Crayon Group Holdings ASA

Rune Syversen is the CEO and co-founder of Crayon Group Holdings ASA, a global leader in digital transformation services. He started the company with a colleague, and under his leadership Crayon has grown to more than 1400 employees in 30 countries that boasts of several accolades, including Microsoft’s No. 1 Global Partner for AI and ML. Syversen is a known serial entrepreneur, as he thrives off of innovation and tenacity, and has launched more than 10 companies, most of them in IT and finance.

Theme: Artificial Intelligence

Martin Gutberlet

Chief Digital Officer, Mondi Group

Martin Gutberlet became Mondi Group’s first Chief Digital Officer in April 2019 with the responsibility of driving digital transformation throughout the global packaging and paper company. He leads Mondi DX, a central team of data scientists, data engineers, agile coaches and other digital specialists. Martin’s main interests include the industrial internet of things (IIoT), Industry 4.0, smart manufacturing, PLC and CNC machine controllers, and Cloud and EDGE computing.
'Human and consumer behavior is changing and companies need to refocus accordingly. This requires understanding of new technologies and their influence on people and organisations as well as new styles of working. Successfully leading a company through digital disruption takes a combination of ICT know-how, analytical skills, and operational change management,' he says. Martin’s professional experience spans work at DMG MORI, Fujitsu, Gartner, KPMG Consulting and Ericsson, prior to joining Mondi.

Theme: Business Stage

Denis Filazafovitch

Group Head of Digital Transformation, A1 Telekom Austria Group

Theme: Artificial Intelligence

Andreas J. Ludwig

Chairman of the Executive Board, Umdasch Group AG

In 1986, Andreas J. Ludwig started his lawyer career at Swarovski Group, where he worked in different positions for 15 years. After two years at UBS Warburg in London, he became CEO of Zumtobel Group in 2003. Since 2010, he has been Umdasch’s Chairman of the Board.

Theme: Business Stage

Wolfgang Ebner

Deputy Director of the Directorate, Federal Ministery for Digital, Business and Enterprises

From 2012-2018 Wolfgang Ebner was Deputy Director of the Directorate 'ICT and E-Government' of the Ministry of Finance.  Before 2012 Wolfgang Ebner had different functions within the Austrian Ministery of the Interior. He was Adviser to the Minster of Interior for technical matters as well as international issues, security research, Cyber Security Coordinator and Chief of staff to the Director for public security. Wolfgang Ebner studied the law and additional studies and qualifications on information security

Lunch Break
12:15 - 12:45

Tech Talent Wars on the Federal Agenda – "Work in Austria" (powered by Austria Business Agency)
12:45 - 13:30
Aleksandra Izdebska & Matthias Grabner & Martin Mayer
12:45 - 13:30
Business Stage

Theme: Artificial Intelligence

Aleksandra Izdebska

Director ICT, ABA – Work in Austria

Theme: Business Stage

Matthias Grabner

Director of Technology, ADVANTAGE AUSTRIA

Matthias Grabner is managing ADVANTAGE AUSTRIA’s (WKO AUSSENWIRTSCHAFT) activities and initiatives in the field of Technology. With a background in media technologies and computer sciences, he started his career in South Korea, where he lived and worked for almost 10 years. Early on Matthias recognized the opportunities that come along with internationalization, and is now committed to help Austrian tech companies find their worldwide success.

Theme: Business Stage

Martin Mayer

Managing Director, Iventa

Martin Mayer studied business administration at the Vienna University of Economics and Business.  After working in international business consulting for a number of years, he was part of the management team of a large Austrian bank. In 2000, Martin continued his career in Iventa, founded by his mother in 1991, and took over the role of managing director. From there he developed Iventa into a market-leading human management consulting company in Austria. In the 19 years since, he has been involved significantly in the design of the HR consulting industry in Austria and continues to work for a number of Austrian and international business advisory boards.
Iventa is a full-range supplier within the HR industry covering the fields of executive search, human resources and organizational development, employer branding, media & tec, and IT-recruiting. It is represented in five locations in Austria, two in Germany, one in Romania and works closely with qualified partners internationally.
Iventa has specialized itself in new and individual paths in IT recruiting and uses innovative approaches to find the right and experienced experts for its clients. 28 years of market experience in combination with professional IT competence is Iventa’s key to success.

Networking Break
13:30 - 14:45

Financial Services in the Age of Artificial Intelligence (hosted by Crayon)
14:45 - 15:30
Hilda Kosorus & Stefan Häbich & Horst Stagl & Lubomir Karlik
14:45 - 15:30
Business Stage

Theme: Executive

Hilda Kosorus

AI Advisor, Crayon

Hilda Kosorus has been working in the field of Data Science for the past 9 years. Coming from the academic and research world after finishing her PhD in computer science, she took on the challenge of laying the foundation of Data Science at Runtastic. Her strongest skills focus on bridging the gap between analytics and other departments, creating value from data and help organizations become more data-driven. Her latest project aimed at leveraging machine learning models to infer causality in customer purchase behavior for the financial service provider RBI. Hilda Kosorus recently took on the role of AI Advisor at Crayon.

Theme: Business Stage

Stefan Häbich

Managing Director, George Labs

Stefan is Managing Director of George Labs, the Erste Group Research and Development Lab. He is part of Erste Group since 13 years and has lead several Management- and Program Management functions. Prior to this Stefan spent 7 years with one of the global Technology- and Strategy consulting firms. His professional roots are in Deutsche Bank. He holds a Master in economics and psychology and is proud of his family and his 2 kids.

Theme: Business Stage

Lubomir Karlik

Head of Artificial Intelligence Transformation, Raiffeisen Bank International AG

Lubomir Karlik is AI product owner at RBI and leads the Raiffeisen Group AI Lab. He has 10 years of experience in international banking projects across variety of division focused on data analytics, data-ware-housing and business intelligence. In the last years the main focus has been identification and implementation of AI backed solutions to increase customer experience where conversational AI plays a prominent role.

Break

Automated Software Testing
15:45 - 16:15
Johannes Hochrainer & Markus Lenger
15:45 - 16:15
Business Stage

Theme: Executive

Johannes Hochrainer

Senior Consultant & Trainer, Software Quality Lab

Johannes Hochrainer is a senior consultant and trainer at Software Quality Lab. He is responsible for the topics software architecture, design and unit testing. Johannes is supporting member of iSAQB and software architect at the company Automated Software Testing.

Theme: Executive

Markus Lenger

Developer & Trainer, Automated Software Testing GmbH

Markus Lenger just got hired as a senior developer, trainer and consultant at Automated Software Testing GmbH (AST). Before that he was responsible for the development of software tools for verification of RF transceivers in the Intel Communication and Devices Group (iCDG). At AST he continues to pursue his strong focus on software-quality and functional verification by working on the Testcode Generator.

Break

Augmented Data Insights
16:30 - 17:00
Dr. Ahmad Haj Mosa
16:30 - 17:00
Business Stage

Augmented Data Insights

Theme: Artificial Intelligence

Almost any data science project needs four experts: Domain Expert how asks questions about data, Data Engineer, who extracts or searches for relevant data, Data Scientist who develop models to get insights and finally the interpreter who explains the insights the domain expert. augmented data analytics target the automation of such a process. This automation includes various AI technologies such as Natural Language Understanding, Program Synthesis, AutoML, Explainable AI and Natural Language Generation. In this talk, I will present PwC Responsible AI Framework and show how Augmented Data Insights helps us in achieving its goals.

Dr. Ahmad Haj Mosa

Senior Manager, Head of AI, PwC Austria

Dr. Ahmad Haj Mosa is a postdoctoral researcher and a lecturer at the Institute for Smart System Technology (IST) in the University of Klagenfurt, Austria. His research area focuses on Augmented Intelligence and Explainable Deep Learning. At PwC, Ahmad works on employing the recent AI breakthroughs to the field of Tax, Legal and financial services, including anomaly and fraud detection, process automation and natural language processing.

Closing
17:00 - 17:30

Day 2 – 29.11.2019

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08:30 - 09:45

End-to-end deep learning pipeline for self-driving cars
09:45 - 10:30
Teemu Kinnunen
Artificial Intelligence
09:45 - 10:30
Main Stage

End-to-end deep learning pipeline for self-driving cars

Theme: Artificial Intelligence

Self-driving cars are fun to build, but how does it actually work and how can the know-how teach you to leverage your data science projects from zero to 100? Using the self-driving car as an example, you will learn how to apply deep learning for computer vision tasks and how to build an end-to-end machine learning pipeline.You will gain insights on the code that trains Tensorflow models as well as the intuition in to theory behind the code. To make the theory tangible the talk will also be looking at best practices of a typical an end-to-end machine learning pipeline to collect and clean data, train and evaluate models in cloud and deploy the trained model to a car - and show how this can help you in your Data Science projects.

Teemu Kinnunen

Data Scientist, Futurice

Teemu Kinnunen has passion for computer vision and machine learning. He develops tools to convert raw data such as video, images and text archives into easily tangible products. He has expertise using open source software to build applications and prototypes really fast and evaluate their performance in a scientific manner. Last year, he gave a talk about Deep learning and Spark for NLP at WeAreDevs Vienna.

Break

Staying Safe in the AI Future
10:45 - 11:30
Cassie Kozyrkov
Artificial Intelligence
Main Stage
10:45 - 11:30

Staying Safe in the AI Future

Theme: Artificial Intelligence

Machine learning and artificial intelligence are no longer science fiction, but what does it take to harness their potential effectively, responsibly, and reliably? Based on lessons learned at Google, this talk will offer actionable advice to help you find opportunities to take advantage of machine learning, navigate the AI era, and stay safe as you innovate.

Cassie Kozyrkov

Chief Decision Scientist, Google, Inc.

As Chief Decision Scientist at Google Cloud, Cassie Kozyrkov advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the force behind bringing the practice of Decision Intelligence to Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google's Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she’s not working, you’re most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel.

Break

Break

Training a Machine to See What’s Beautiful
11:45 - 12:30
Dat Tran
Artificial Intelligence
Main Stage
11:45 - 12:30

Training a Machine to See What’s Beautiful (esp. for Hotel Photos)

Theme: Artificial Intelligence

We’ve all heard that “a picture is worth a thousand words”. That definitely applies to our hotel price comparison service hotel.idealo.de, a daughter company of Axel Springer. Each hotel supplies us with dozens of images, presenting us with the challenge of choosing the most “attractive” image for each pitch on our offer comparison pages since photos can be just as important for bookings as reviews. Given millions of hotel offers, we end up with more than 100 million images which require an “attractiveness” assessment.Although teaching and training a computer to decide what makes a “beautiful” hotel photo is a hard problem, it’s not impossible. In this talk, we will present how we solved this difficult problem. In particular, we will share our training approaches and the peculiarities of the models. We will also show the “little tricks” that were key to solving this problem.

Dat Tran

Head of AI, Axel Springer AI

Dat is the Head of AI at Axel Springer Ideas Engineering, the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI where his goal is to make AI more accessible within Axel Springer and hence drive innovations within the group. His ultimate plan is to turn Axel Springer into an AI first company.Dat's interests are diverse from traditional machine learning, deep learning, AI in general to computer vision. Previously, he co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images. He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from Humboldt University of Berlin.

Lunch Break
12:30 - 13:15

Lunch Break
12:30 - 13:15

Self-Supervised Learning
13:15 - 13:45
Simon Stiebellehner
Artificial Intelligence
Main Stage
13:15 - 13:45

Self-Supervised Learning - Towards Autonomously Learning Machines

Theme: Artificial Intelligence

Supervised machine learning is powerful, but has severe limitations. For example, supervised learning requires extensive labeling of data sets, which is expensive. Also, learned representations are tailored to a very specific task, which often goes at the expense of model robustness. Overcoming these weaknesses, self-supervised learning has gained significant attention in recent past. Self-supervised learning is inspired by the way infants learn to understand the world around them. Even in absence of a 'teacher' (i.e. labels), infants quickly grasp new concepts and apply them to other domains. They do so by autonomously creating learning tasks (e.g. grabbing a toy) from sensory input of the world around them. Self-supervised learning mimics this behavior. It is a concept that is centered around automatically creating labeled data sets (learning tasks) from the input. For example, we could automatically and repeatedly remove parts of facial images and train a model to estimate the missing parts (labels) based on the surroundings. We can then use the learnt understanding of the structure of faces for other purely supervised learning tasks. This typically results in better prediction quality and improved model robustness as well as reduced training time and lower number of required labels.

Simon Stiebellehner

Head of AI, craftworks GmbH

Break

Automatic Spend Classification - An end to end solution
14:00 - 14:30
Emir Ombasic
Artificial Intelligence
Main Stage
14:00 - 14:30

Automatic Spend Classification - An end to end solution

Theme: Artificial Intelligence

Using the most recent fast Neural Network prototyping capabilities, it is made much easier for Data Scientists to try out different approaches in resolving real-life challenges for various businesses. In this speech, Emir will focus on a working solution that he developed using Tensorflow / Keras and which resolves one of the challenges that large companies face: spend management and analytics of unclassified articles. The solution bridges articles to a product category schema (so-called: [email protected]), processing them using NLP techniques and matching them via hierarchical model structure. This can be done on-demand or via batch processing. Once companies are able to match the articles to categories, it is much easier to check the spend per category and spot increasing procurement costs. This is especially true for large corporations where the orders are made in large volumes and range from papers, printers up to laboratory equipment and specialized parts.Emir will demonstrate multiple approaches that he has taken and show the pros and cons of different model configurations ranging from single model to orchestrated multiple dependent models.

Emir Ombasic

Data Scientist, Jaggaer

Born 1985 in Bosnia. Emir has a University degree in Mathematics and Information technologies and has spent the last 13 years of his career in software development.
Currently, he works as a Data Scientist at Jaggaer Vienna office, where he deals with large volumes of Procurement data and can apply his tool-set of Statistics, Discrete Mathematics and Linear Algebra. Over the years, his projects were ranging from Procurement SAP integrations via PHP, over Performance optimizations up until Order Delivery Time predictions, Digital Assistants and Spend Forecast consulting.
His primary focus is developing Python / Tensorflow / Keras AI Services and integrating them with existing solutions with the goal to increase user efficiency, reducing repetitive tasks and decreasing risks. Over the past years, he was able to integrate multiple solutions of this kind and also acted as AI / ML evangelist in the Procurement Business.

Break

Empowering developers
14:45 - 15:30
Leo Shiwei Li
Cloud Computing
Main Stage
14:45 - 15:30

Leo Shiwei Li

President, Tencent Cloud Europe

Shiwei Li is President at Tencent Cloud Europe and responsible for the expansion of China’s biggest internet company into Europe. Before joining Tencent Cloud in 2018, Shiwei Li was leading international teams at Huawei Technologies in the APEC region and Europe, where he gained rich experience in the international expansion of Chinese companies for almost two decades supporting Huawei’s globalization strategy.Today he is a renowned thought and business leader in the IT and Cloud computing industry who combines a deep technological and cultural understanding.Leading several teams during the past 17 years allowed Shiwei Li to develop a deep understanding of different industries such as Internet, automotive, telecommunications, retail, finance, media and entertainment. Leading teams overseas enabled him to develop a deep understanding of different cultures and close relationships with business leaders in China, Asia Pacific, and Europe.

Break
15:30 - 16:00

How ClusterFuzz found over 16,000 Bugs
16:00 - 16:30
Jakob Linskeseder
Cloud Computing
Main Stage
16:00 - 16:30

How ClusterFuzz found over 16,000 Bugs: An Introduction To Fuzzing

Theme: Cloud Computing

According to Wikipedia, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. Google uses fuzzing since 2015 to test its Chrome browser and found hundreds of bugs. In this talk I’ll introduce the concept of fuzzing and how it can increase the security and quality of software. We’ll also take a glimpse at OSS-Fuzz and ClusterFuzz – a scalable and open-source fuzzing infrastructure operated by Google.

Jakob Linskeseder

Senior Web-Developer, karriere.at

·  2008-2011: Bachelor degree in media arts and technology at the University of Applied Sciences Upper Austria
·  Since 2016: Senior Web-Developer at karriere.at with a strong commitment to web-security
·  Since 2018: Working on Master’s degree in information security at the University of Applied Sciences Upper Austria. Doing research in the High-Performance-Computing Lab.
·  Since 2019: Part time research fellow at Research Group Sichere Informationssysteme at FH Oberösterreich

Closing & Winner Announcement
16:30 - 17:45
SCROOSER, Huawei, CIRC and WeAreDevelopers

IoT & Cloud Stage
IoT & Cloud Stage
Tracability and Privacy Aspects in Industry
09:45 - 10:30
Christian Jandl
Internet of Things
09:45 - 10:30
IoT & Cloud Stage

Tracability and Privacy Aspects in Industry

Theme: Internet of Things

In course of digitization of production facilities, tracking of assets in the supply chain is increasingly relevant for the manufacturing industry. The collection and use of real-time position data of transport, tools and load carriers is today already standard in entire branches of industry and defined under the term "Asset Tracking". Productivity effects through better planning and control, but also through the guarantee of clear traceability of individual objects through the production process, outweigh the costs of system introduction and operation of these systems. In addition to asset tracking, the technologies used also offer new possibilities for collecting and evaluating position and status data of employees. Thus these technologies can be used for performance monitoring or also for monitoring work behaviour, which can lead to additional burdens and stress for employees. In this session, the technologies which are used in tracking systems will be presented and their privacy issues will be discussed. The audience should get a feeling for what has to be taken into consideration in relation to employee’s privacy when implementing and developing tracking systems in the industrial sector.

Christian Jandl

Researcher, St. Pölten UAS

Christian Jandl is a researcher associate at St. Pölten UAS at the Institute of Creative Media Technologies. His research topics include digitization and Industry 4.0 as well as embedded systems. He started his Ph.D. at TU Wien (Austria) in 2018, focusing on user privacy in industrial tracking systems. Especially when companies make use of tracking systems in the production plant, employee privacy has to be redesigned.

Break

Practical IoT
10:45 - 11:15
Nils Heuer
Internet of Things
Cloud Computing
10:45 - 11:15
IoT & Cloud Stage

Practical IoT: Lessons learned from building large-scale connected device platforms

Theme: Cloud Computing

Beyond any hype around the Internet of Things, making use of the data collected by devices ranging from wearables to kitchen appliances to factory robots is only going to become more relevant in the future. Yet, many teams treat the task of building an IoT solution like a traditional siloed IT project, setting themselves up for failure. However, best practices are starting to materialize around the challenges specific to (Industrial-) IoT. We will cover overall architecture decisions, Edge-vs-Cloud, data persistence strategies, analytics and machine learning examples and approaches to handling intermittent high velocity data. We’ll also look at some examples and demos on these topics.

Nils Heuer

Global Solutions Architect, Amazon Web Services

As a Solutions Architect in Amazon Web Services’ Global Accounts team, Nils advises organizations on the technology and processes of their journey to the cloud. He is passionate about shaping the impact of culture and communication on technology teams. Before joining AWS, Nils held consulting roles at Google, HP and several startups.

Break

How to make money with data analytics in industrial use cases
11:30 - 12:00
Manfred Kügel
Cloud Computing
11:30 - 12:00
IoT & Cloud Stage

How to make money with data analytics in industrial use cases

Theme: Cloud Computing

Manfred Kügel

Data Scientist and Advisor for Manufacturing Industry, SAS Institute

Manfred Kuegel is a hands-on mechanical engineer and data scientist. He gets excited if he can combine models based on physical laws with data science methods. Manfred has over a decade’s worth of experience building large industrial plants and troubleshooting production processes. He started to apply data science methods to find solutions for previously unsolved problems. Manfred developed and implemented dozens of data science use cases in industrial settings. At SAS he applies his data science and engineering know-how to generate maximum value for industrial clients.

Lunch Break
12:00 - 12:45

How we almost delivered 100 tons of Stracciatella Mousse
12:45 - 13:30
Björn Wendland & Tobias Schröder
Cloud Computing
12:45 - 13:30
IoT & Cloud Stage

How we almost delivered 100 tons of Stracciatella Mousse

Theme: Cloud Computing

It's not a bug, it's a feature! How often do we read or hear this saying? At what point in time are you confident to say that it's a feature? Is it when your service has a very good test-coverage, a user-focused design and never acts out of line because it utilizes fancy front-end testing tools and canary-releases? Even with seemingly perfect coverage along all levels of the test pyramid, we wonder why bugs appear. This talk is about how we almost delivered 100 tons of Stracciatella Mousse. On time! This was not a bug in production. A store employee confirmed that specific order. Nevertheless this behaviour sounds strange enough to investigate. That's why we stepped back. Took a deep breath and had a look at our metrics. Can we actually detect anomalies before someone drowns in a pool of tasty Stracciatella Mousse. Join the talk to find out!

Björn Wendland

Passionate Full Stack Developer & Clean Code Evangelist, METRONOM

With over five years of professional experience, Björn joined METRONOM last year and subsequently established Kotlin as programming language and became the company's Kotlin Ambassador.
True to METRONOM's mission to “set the pace in food and technology”, he challenges solution, architecture and implementation every day.
Björn distinguishes himself by his sound advice and solid decision making. Colleagues describe him as biased in a trustful way.
In his free time, Björn enjoys competing (or mostly goofing off) with friends during a gaming or a bouldering session.

How we almost delivered 100 tons of Stracciatella Mousse

Theme: Cloud Computing

It's not a bug, it's a feature! How often do we read or hear this saying? At what point in time are you confident to say that it's a feature?Is it when your service has a very good test-coverage, a user-focused design and never acts out of line because it utilizes fancy front-end testing tools and canary-releases? Even with seemingly perfect coverage along all levels of the test pyramid, we wonder why bugs appear. This talk is about how we almost delivered 100 tons of Stracciatella Mousse. On time! This was not a bug in production. A store employee confirmed that specific order. Nevertheless this behaviour sounds strange enough to investigate. That's why we stepped back. Took a deep breath and had a look at our metrics. Can we actually detect anomalies before someone drowns in a pool of tasty Stracciatella Mousse. Join the talk to find out!

Tobias Schröder

Full Stack Wizard, METRONOM

Tobias has more than five years of experience as professional full stack developer. After finishing his academic career with a PhD in dialog-based online argumentation, he decided to join METRONOM in the mid of 2018. Since then, he and his team are continuously improving METRO's customer order fulfillment processes. They provide their colleagues in the stores with first-class digital tools accelerating the management of thousands of articles over several freshness zones. Tobias's daily obsession: minimize and simplify the communication about customers' order information using online services.
In his spare time he loves to write Clojure, and if you don't find him coding, he is standing in front of his barbecue or lifting some dumbbells.

Break

Building a Data Platform with Apache Spark on Kubernetes
13:45 - 14:15
Jihwan Chun & Gyutak Kim
Cloud Computing
13:45 - 14:15
IoT & Cloud Stage

Building a Data Platform with Apache Spark on Kubernetes

Theme: Cloud Computing

Kubernetes has achieved one of the dominating platform for container-based infrastructure. Many platforms are starting to support Kubernetes as first-class and Apache Spark, analytics engine for large-scale data processing, is one of them. From Spark 2.3, Spark can run on clusters managed by Kubernetes. PUBG Corporation, serving an online video game for 10s of millions of users, decided to migrate its on-demand data analytics platform using Spark on Kubernetes. At this talk, Jihwan Chun and Gyutak Kim will describe the challenges and solutions building a brand-new data platform project powered by Spark on Kubernetes. Sphynx, the project which will be discussed at the talk, is a platform for managing on-demand Spark clusters and connected Jupyter Notebooks as containerized applications on Kubernetes.

Jihwan Chun

Software Engineer

Jihwan Chun has recently contributed to building a global-scale game server infrastructure for the video game called Playerunknown's Battlegrounds. These days his main interest is building a robust and scalable data platform for data-driven development in game industry.

Building a Data Platform with Apache Spark on Kubernetes

Theme: Cloud Computing

Kubernetes has achieved one of the dominating platform for container-based infrastructure. Many platforms are starting to support Kubernetes as first-class and Apache Spark, analytics engine for large-scale data processing, is one of them. From Spark 2.3, Spark can run on clusters managed by Kubernetes. PUBG Corporation, serving an online video game for 10s of millions of users, decided to migrate its on-demand data analytics platform using Spark on Kubernetes. At this talk, Jihwan Chun and Gyutak Kim will describe the challenges and solutions building a brand-new data platform project powered by Spark on Kubernetes. Sphynx, the project which will be discussed at the talk, is a platform for managing on-demand Spark clusters and connected Jupyter Notebooks as containerized applications on Kubernetes.

Gyutak Kim

Data Engineer, PUBG

Gyutak is a data engineer at PUBG corporation who takes a role in development of the data platform and ETL pipelines for the game called Playerunknown's Battlegrounds. His current goal is building a microservice infrastructure over Kubernetes which can integrate overall PUBG data services.

Break

Data Breaches As A Necessary Evil
14:30 - 15:15
Bob Diachenko
Cloud Computing
14:30 - 15:15
IoT & Cloud Stage

Data Breaches As A Necessary Evil

Theme: Cloud Computing

Bob Diachenko is a Cyber Threat Intelligence Director and journalist at SecurityDiscovery.com consultancy. To discover data breaches, leakages, and vulnerabilities on the Internet, he uses the Shodan search engine (and similar - like BinaryEdge, Zoomeye) and simple dorks. No special software or active scanning, just 'bare hands' and some luck. If he can find your data, then anybody in the world can do it. Not only legitimate companies or businesses forgot to properly configure their datasets. For the past two years, Bob spotted at least three cases when malicious actors or criminals have inadvertently put stolen assets on the public. Focusing on these real-time cases and breaches in unsecured databases managed by criminals, Bob uncovers the key checklist that keeps your data safe and how to protect your personal data from being stolen.

Bob Diachenko

Cyber Threat Intelligence Director & Journalist, SecurityDiscovery.com

Bob Diachenko is a Cyber Threat Intelligence Director and journalist at SecurityDiscovery.com consultancy.
In the past, Bob has worked in a company that had a big data breach. Now his goal is to help to protect data on the Internet by identifying data leaks and following responsible disclosure policies.
Bob is on the mission to make the cyber world safer by educating businesses and communities worldwide. Many of Bob's discoveries have been covered in major news and technology media, earning himself a reputation as one of the reputable data security analytics.

AI & Blockchain Stage
AI & Blockchain Stage
Ocean Protocol - Empowering a new AI ecosystem an open source blockchain protocol
09:45 - 10:30
Marcus Jones
Blockchain
09:45 - 10:30
AI & Blockchain Stage

Ocean Protocol - Empowering a new AI ecosystem an open source blockchain protocol

Theme: Blockchain

The open-source and decentralized Ocean Protocol project has evolved from a proof of concept to deployed into production. The simplest case is unlocking data assets to empower artificial intelligence - more data is better! This talk will go beyond data and explore the future of decentralized AI. Ocean Protocol supports advanced access control and orchestration, built on our smart contracts and Service Execution Agreements (SEAs). These mechanisms allow more complex use cases, such as aggregate data assets (the whole can be greater than the sum of the parts!), and execution of a complete data science workflow. Ocean Protocol empowers data scientists with an open and cryptographically secure platform to build applications such as compute over private data, and federated learning to unlock the true potential of AI.

Marcus Jones

Lead Data Scientist, Ocean Protocol

Marcus Jones is the lead Data Scientist at Ocean Protocol, a blockchain decentralized marketplace for data, pipelines, and models for the AI ecosystem. Marcus has been hacking in Python development and open source projects for over 10 years, starting at a national research agency in Vienna Austria, moving to international consulting, and most recently landing in Berlin at Ocean. Marcus is focused on the intersection of Artificial Intelligence and the new decentralized Web 3.0 ecosystem and how it will empower Data Engineers and Data Scientists.

Break

Program Synthesis
10:45 - 11:30
Friedrich Slivovsky
Artificial Intelligence
10:45 - 11:30
AI & Blockchain Stage

Program Synthesis

Theme: Artificial Intelligence

It’s estimated that 80% of the development time in machine learning projects is spent on getting the data into the right format - that process is called data wrangling. Often the transformations are simple but still require some trial and error to get right. You look at a few examples, come up with a transformation, then realize that it does not work on a different example and refine accordingly. Programming By Example (PBE) is a technology that generates code for the transformation just based on examples. Not only does this mean you don’t have to write your own transformation (though of course you can edit what’s generated by PBE), but the transformation is correct by design: you can be sure that it covers the examples that you presented.- Most development environments have some sort of autocomplete feature that provides suggestions based on context. For instance, as you starting writing the name of a previously declared variable the system suggests the name of that variable, or you get a list of available methods of an object. Using AI, these capabilities can be vastly expanded. Something I do quite frequently (and I think that's very common for developers) is go to a website like Stackoverflow looking for a snippet of code. (For example, I might be looking for an elegant way to delete all elements from a vector that match a certain pattern.) Once I find something that fits, I copy/paste it into my own code and edit the result to make sure everything is consistent. AI can help automatize that procedure: I specify my intent (using the same query I would use to search Stackoverflow) and in response get the snippet inserted into my code, already customized with my own variable names.- Sometimes you know the high-level structure of the program you want to write but haven't figured out all the details yet. "Sketching" is an approach where you define the abstract structure of the code in the form of a program that has gaps in it (a "sketch"), along with testcases that specify the correct behavior of your program (if you're a diligent coder, you have to write such test cases anyway). Leveraging clever algorithms, the computer then fills in the gaps in your program so that it passes the tests you provided.

Friedrich Slivovsky

Postdoctoral Research Assistant, TU Wien

Friedrich Slivovsky is a postdoctoral research assistant with the Algorithms & Complexity Group at TU Wien and part-time data scientist with Softwarepark. His research is focused on building logical reasoning engines for problems that are generally considered intractable. Recently he is trying to find ways for machine learning to aid in this task.

Break

Data Science in action - real world examples
11:45 - 12:30
Dr. Olivia Lewis
Artificial Intelligence
11:45 - 12:30
AI & Blockchain Stage

Data Science in action - real world examples

Theme: Artificial Intelligence

Machine Leaning is not always the solution to all problems. In real world examples data scientists often face the reality of the situation that provided data is not sufficient to train a machine learning model as planned. Labeled data is not available, the amount of data is not enough or on the other hand even too much? Most of us have faced at least one of these challenges. How can these problems be tackled and which data science techniques can be used to solve real world problems with imperfect data.

Dr. Olivia Lewis

Data Science Team Lead, The unbelievable Machine Company GmbH

Olivia is the Head of Data Science for 'The unbelievable Machine Company GmbH' in Berlin with previous work experience as a Data Scientist, a Ph.D. in Systemic Neuroscience from the Graduate School of Systemic Neurosciences (GSN) at the LMU Munich and a BSc from the TU Berlin in Physics.

Lunch Break
12:30 - 13:15

Achieving financial freedom using cryptocurrencies
13:15 - 14:00
Pavol Luptak
Blockchain
13:15 - 14:00
AI & Blockchain Stage

Achieving financial freedom using cryptocurrencies (2019 edition)

Theme: Blockchain

Real digital privacy starts with protecting your financial transactions. Leaving no traces. Making impossible to see or intervene with your voluntary economic interactions. With the rise of anonymous cryptocurrencies, for the first time in our human history, we can do a global business and stay anonymous. Liberate yourself.

Pavol Luptak

Ethical Hacker, Nethemba

Pavol gained his BSc. at the FEI-STU in Bratislava and MSc in Computer Science at the Czech Technical University with a master thesis focused on ultra-secure systems. He holds many prestigious security certifications including CISSP and CEH, he is Slovak OWASP chapter leader, co-founder of Progressbar and SOIT organizations where he is responsible for IT security.
Pavol uses to have regular presentations at various worldwide security conferences (in the Netherlands, Luxembourg, Berlin, Warsaw, Krakow, Prague). In the past, he demonstrated vulnerabilities in the public transport SMS tickets in all major cities in Europe, together with his colleague Norbert Szetei he practically demonstrated vulnerabilities in Mifare Classic RFID cards. He has 14 years of experience in IT security, penetration testing and security auditing including social engineering and digital forensic analysis.
He is the co-author of the OWASP Testing Guide v3, has a deep knowledge of the OSSTMM, ISO17799/27001 and many years experience in seeking vulnerabilities. He has a knowledge of many programming languages (ASM, C, C++, XSLT, Perl, Java, PLSQL, Lisp, Prolog, scripting languages) and operating systems. He is also focused on VoIP and interesting IT security research.

Break

Quantum Computing
14:15 - 14:45
Alexandra Waldherr
Artificial Intelligence
14:15 - 14:45
AI & Blockchain Stage

Say hello to future's hardware!

Theme: Artificial Intelligence

Quantum computing is something everybody heard off, but nobody really knows about. Do we need it? From lab data problems and AI, I stumbled into optimization and qubits. Interestingly, methods chemists use daily are tightly bound to quantum computing! Her talk should give the audience a feeling for what quantum computers are, the chemistry and physics behind how they operate and how they are proposed to enhance AI. She will finish with a live-glimpse into IBM-Q (free portal to 'program' one of the world's first quantum computers).

Alexandra Waldherr

Student, Chemical Engineering

My name is Alexandra Waldherr. I am 17 years old and currently attend a higher technical college for chemical engineering.
Since age 12, I am passionate about science, especially physics and chemistry of tiny matter. Besides school, I challenge myself in science competitions and Python/Arduino projects at home.
In 2018 I finished the Viennese Physics' Olympiad best girl, this summer I worked with the department for material chemistry of TU Vienna and did an internship at AF-Institute Vienna (AI and data management for the medical sector). I was invited to speak at the FifteenSeconds-Festival and introduced nanomaterials and biocomputing at Gainer-Festival 2019. For the end of October, I am selected to represent Austria at CERN for two weeks as part of the HSSIP-program.
As a chemist, I know quantum mechanics and all the theory. However: To be honest, some practical concepts of quantum computing are still foreign to me.
I would therefore go with Schroedinger and say there is a 50% chance of me being a quantum computing expert. Your observation shall determine!

Break

Kandinsky Patterns for Visual Concept Learning
15:00 - 15:45
Anna Saranti
Artificial Intelligence
15:00 - 15:45
AI & Blockchain Stage

Kandinsky Patterns for Visual Concept Learning

Theme: Artificial Intelligence

Starting with the necessity and relevance of Explainable AI methods, we will introduce the notion of causability and its additional value over explainability. Kandinsky figures and Kandinsky patterns are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in artificial intelligence. With the help of Kandinsky patterns, we can develop explanations and IQ-Tests for AI in the medical domain. We will display an already worked out case, where a neural network implemented in TensorFlow has learned a visual concept. Real-time interaction with a prepared Colab notebook and explanation of the learned internal representations will be shown during the presentation.

Anna Saranti

Doctoral student, Graz University of Technology (TU Graz)

Anna Saranti is employed at the Medical University Graz in the FWF Project P-32554 'A reference model of explainable AI for the medical domain', and a doctoral student at TU Graz, supervised by Prof. Dr. Andreas Holzinger, where she also completed her Masters’ in Computer Science with distinction with a thesis on 'Applying Probabilistic Graphical Models and Deep Reinforcement Learning in a Learning-Aware Application'. Anna is currently employed in the FWF Project P-32554 'A reference model of explainable Artificial Intelligence for the Medical Domain” and has been working as tutor for machine learning at both the TU Graz and TU Vienna. Anna has experience as a software developer and data scientist in several industrial companies, most notable of them being 'raicoon' - the first autonomous operations center for renewable energy.

Break

AI Detectives: Criminal Investigation at Scale
16:00 - 16:30
David Weichselbaum
Artificial Intelligence
16:00 - 16:30
AI & Blockchain Stage

AI Detectives: Criminal Investigation at Scale

Theme: Artificial Intelligence

For the first time in history, nearly all criminals carry in their pockets little evidence-gathering devices -- voluntarily! Like all of us, they leave traces of their doings in local and cloud storage and happily produce highly incriminating data against themselves. One might think that this is a dream come true for law enforcement. Far from it! Where yesterday it sufficed to search a binder of documents, today millions of digital data points have to be connected by the investigator. Tomorrow it could become unfeasible to even view most of the evidence.Like with many things, the current machine learning spring offers a supposed panacea to this.T3K-Forensics will talk about their current work in forensic automation, problems, solutions, privacy and the future of investigation.

David Weichselbaum

Chief Science Officer, T3K-Forensics

David Weichselbaum has a background in molecular biology and machine learning.
Before joining T3K-Forensics he was involved in startups producing genetically modified yogurt and financial prediction AI.
His work as T3K's chief science officer is heavily influenced by his academic research in quantum chemistry and protein simulation.

Business Stage
Business Stage
Startup Finance & Acceleration Opportunities in Austria
09:45 - 10:30
Henrietta Egerth & Bernhard Sagmeister & Gerhard Hirczi & Marcus Ihlenfeld & Denise Mandt
09:45 - 10:30
Business Stage

Theme: Executive

Henrietta Egerth

Managing Director, FFG (Austrian Research Promotion Agency)

Henrietta Egerth studied commercial science at the University of Linz and then she worked for some years in Brussels. On her return to Vienna, she worked for the Federation of Austrian Industry before moving to the Ministry of Economics and Labour in 2000, where she was responsible for business promotion and research and development. Since 2004 Henrietta Egerth is Managing Director of the Austrian Research Promotion Agency FFG.

Theme: Artificial Intelligence

Bernhard Sagmeister

Managing Director, AWS

Since July 2009 Bernhard Sagmeister serves as Managing Director of Austria’s Federal Promotional Bank ”Austria Wirtschaftsservice GmbH”
(aws) and the ERP-Funds (European Recovery Program). Furthermore, he chairs the “aws Venture Funds” and Austria’s “National Foundation for Research, Technology and Development” (NFTE). Bernhard Sagmeister draws on over 25 years of professional experience in the financial and banking industry. In addition to his current appointment at AWS Bernhard Sagmeister is affiliated to the supervisory board of the Austrian Bank for Tourism Development (ÖHT), member of “Austria´s External Economic Relations Advisory Board” (Federal Chamber of Commerce, Austria) and board member of Austria’s “Water and Waste Management Association”. Since June 2015 he also serves as Chairman and President of European Association of Guarantee Institutions (AECM).

Theme: Executive

Gerhard Hirczi

Managing Director, Vienna Business Agency

Gerhard Hirczi has been leading the Vienna Business Agency as its Managing Director since 2009. Following his graduation in macroeconomics at the University of Graz, he started his career with a Viennese consulting company in 1985. From there he changed into the department of economics of the Austrian federal chancellery and later joined the Cabinet of the former chancellor Franz Vranitzky as a consultant for economic policy. From 1997 to 2000, Gerhard Hirczi acted as Siemens Austria’s secretary general, and later as Head of Group HR for Siemens´s CEE cluster, overseeing a staff of over 40.000.

Theme: Business Stage

Marcus Ihlenfeld

CEO & Owner, woom GmbH

Marcus Ihlenfeld was born in Germany and received a sports scholarship to study Business Administration in the US. He then spent 15 years working in the automobile sector. After five years in Zurich he moved to Vienna. Upon becoming a father, long-time cycling enthusiast Marcus started looking for a good children's bike – but was unable to find one. Therefore, in 2013 he founded the company woom together with his business partner Christian Bezdeka in a garage in Vienna. The bicycles, which they initially assembled themselves, quickly became very popular. Today, woom is present in 30 countries around the world and has 100 employees.

Additive Manufacturing

Theme: Artificial Intelligence

We live in a fast-changing world where everything gets smaller and more powerful. Therefore, demand for polymeric microparts and meso-objects with microfeatures increas rapidly. This trend not only sets new requirements for the components but also on the manufacturing techniques. UpNanos ultrafast small high-resolution 3D printing system combines highest resolution and unmatched throughput in a patented process – opening up a new dimension in 3D printing. Denise Mandt is one of the founders of UpNano and manages marketing and sales of the young high-tech company. She will give us an insight into what it means to establish a new technology on the market and how it was for them to found a university spin-off in Austria.

Denise Mandt

Head of Sales Marketing, UpNano GmbH

Break
10:30 - 11:00

Gerhard Hirczi Intro Speech
11:00 - 11:15
Business Stage

Theme: Executive

Gerhard Hirczi

Managing Director, Vienna Business Agency

Gerhard Hirczi has been leading the Vienna Business Agency as its Managing Director since 2009. Following his graduation in macroeconomics at the University of Graz, he started his career with a Viennese consulting company in 1985. From there he changed into the department of economics of the Austrian federal chancellery and later joined the Cabinet of the former chancellor Franz Vranitzky as a consultant for economic policy. From 1997 to 2000, Gerhard Hirczi acted as Siemens Austria’s secretary general, and later as Head of Group HR for Siemens´s CEE cluster, overseeing a staff of over 40.000.

Artificial Intelligence: Revolutionizing Industrial Organisations (hosted by Crayon)
11:15 - 11:45
Florian Rosenberg & Dr. Frank Lulei & Leo Shiwei Li
11:15 - 11:45
Business Stage

Theme: Executive

Florian Rosenberg

Technical Director, Crayon

Florian Rosenberg is the Technical Director of Crayon’s AI Center of Excellence for Europe where he leads the data science and engineering teams and owns the overall technical strategy. He has a strong passion for making businesses successful with AI and Machine Learning. Before joining Crayon, he worked in several leadership roles across the globe and spent a significant portion of his career building innovate cloud and AI products for IBM Watson, for example, Deep Learning as a Service. Florian earned his PhD in Computer Science from TU Wien, holds 6 patents and published several highly cited academic papers.

Theme: Business Stage

Dr. Frank Lulei

Director Digitalisation, STRABAG AG

Frank has a background in physics and civil engineering. His career covers a wide range of construction business: structural design as well as contract- and risk-management on site. First at Bilfinger Berger and since 2010 at Strabag he was in charge for projects all over the world, e.g. in Nigeria, USA, Bulgaria, India, Israel and UK. In 2018 Frank joined the new established subdivision ‘digitalisation’. His main interests are applied research and development at the frontier of
digitalisation in the Strabag Group. In particular, data analysis and applications of AI. Frank is 50 years old and lives in Vienna.

Leo Shiwei Li

President, Tencent Cloud Europe

Shiwei Li is President at Tencent Cloud Europe and responsible for the expansion of China’s biggest internet company into Europe. Before joining Tencent Cloud in 2018, Shiwei Li was leading international teams at Huawei Technologies in the APEC region and Europe, where he gained rich experience in the international expansion of Chinese companies for almost two decades supporting Huawei’s globalization strategy.Today he is a renowned thought and business leader in the IT and Cloud computing industry who combines a deep technological and cultural understanding.Leading several teams during the past 17 years allowed Shiwei Li to develop a deep understanding of different industries such as Internet, automotive, telecommunications, retail, finance, media and entertainment. Leading teams overseas enabled him to develop a deep understanding of different cultures and close relationships with business leaders in China, Asia Pacific, and Europe.

Female Role Models in Tech ( Skills, Mentorship & Funding )
11:45 - 12:30
Claudia Viehweger & Sophie Seiwald
11:45 - 12:30
Business Stage

Theme: Artificial Intelligence

Sophie Seiwald

CEO, Mercedes Benz.io

Sophie is heading Mercedes Benz.io as CEO since beginning of 2018. Before joining Mercedes Benz.io, Sophie was building up the Digital Hub for the Daimler Financial Services Division in Singapore. Previously she was engaged in building one of MercedesBenz biggest Car Production Plants in the world in Beijing. Sophie is 35 years old and born and raised in Austria. She currently lives in Stuttgart.

Female Role Models in Tech ( Skills, Mentorship & Funding )
11:45 - 12:30
Claudia Viehweger & Sophie Seiwald
11:45 - 12:30
Business Stage

Theme: Artificial Intelligence

Sophie Seiwald

CEO, Mercedes Benz.io

Sophie is heading Mercedes Benz.io as CEO since beginning of 2018. Before joining Mercedes Benz.io, Sophie was building up the Digital Hub for the Daimler Financial Services Division in Singapore. Previously she was engaged in building one of MercedesBenz biggest Car Production Plants in the world in Beijing. Sophie is 35 years old and born and raised in Austria. She currently lives in Stuttgart.

Lunch Break
12:30 - 13:00

Lunch Break
12:30 - 13:00

Talk from Marcus Kapun
13:00 - 13:30
Marcus Kapun
13:00 - 13:30
Business Stage

Theme: Executive

Marcus Kapun

Chief Digital Officer, BAWAG P.S.K.

Marcus Kapun is the Chief Digital Officer (CDO) of Bawag P.S.K. He is responsible for the complete process of design, analysis, development and quality assurance of all digital retail products of the Bawag Group. In his division, he enrolled a fully-fledged agile working and organizational model ('Spotify-Model') with accountability for both, business-related topics and targets, as well as implementing cutting-edge technology based on latest frontend developments (micro-frontends), and micro-service- architecture, but also core banking system. Digital Strategy, Innovation and Fintech cooperation/partnerships are also equally important topics in his area.
Marcus joined Bawag P.S.K. in 2006, working in different roles with his most recent positions as Head of Strategy and Head of Digital Banking. Earlier in his career, he was Executive Assistant to the management board of a .com -company in Vienna. Born in Styria, Austria, he studied Management and Business Administration at the University of Applied Science Vienna (FH Wien) and is a CFA Charterholder since 2014.

Break

What Do Developers Want From Employers? - The Results of the WeAreDevelopers Survey
13:45 - 14:45
Ellie Tzortzi & Ana Gospodinova & Werner Müller & Ulrike Vonderhaid & Stefan Mey
13:45 - 14:45
Business Stage

Theme: Cloud Computing

Ellie Tzortzi

Partner, MindTake Research

What are developers really like as colleagues and employees? What are they looking for in a job, and how can you keep them happy?  Going beyond the clichés of nerds running on pizza and computer games, the annual Developers Survey offers valuable insight to employers looking to attract and retain the best tech talent from around Europe. Ellie Tzortzi, Partner at digital market research pioneers MindTake Research, will present the results of the 2019 survey conducted over the summer among participants of the WaD conference in Berlin. Ellie has a background in journalism and a degree in design from Parsons.

Theme: Business Stage

Stefan Mey

Chefredakteur, Der Brutkasten

Stefan Mey is editor in chief of der brutkasten, Austria's media platform for startups and innovation. He is an experienced business- and tech-journalist, who previously worked for WirtschaftsBlatt, trend, Horizont and futurezone. He has been reporting on startups for more than a decade, as well as on various business- and technology-trends.

Werner Müller

Responsible for Startups and SMEs, Digitalisation Agency

Werner is part of the Austrian Digitalisation Agency-team, that has been installed by the federal government in 2018 to face the challenges of digital transformation and shape the digital future of Austrias economy. His focus is on supporting start-ups and SMEs to ensure growth in a more and more digitalized environment.  In a second role he is supporting start-ups in Austria regarding targeted funding programmes and services for innovation and R&D projects as the DIA is a department of the Austrian Research Promotion Agency (FFG) – the national funding agency for industrial research and development in Austria.Werner has over 15 years of experience in telco-, media- and digital industries working for A1, UPC, bwin, Virtual Identity, bwin, Publicis or TBWA\.

Ulrike Vonderhaid

Deputy Head SME Unit, Ministry for Digital and Economic Affairs

Ulrike Vonderhaid studied law at the University of Vienna and started in July 2013 to work in the Federal Ministry for Digital and Economic Affairs in different areas. Since January 2019 she is now responsible for SME policy on national and European level.

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