WeAreDevelopers Congress Vienna
Speakers

28.11.-29.11.19

Days
2

Developers
2,000+

Speakers
60+

Workshops
25+

Tanmay Bakshi

AI expert at age 15, IBM Cloud Advisor

About Tanmay Bakshi
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.

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

Cassie Kozyrkov

Chief Decision Scientist, Google, Inc.

About Cassie Kozyrkov
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.

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.

Siddha Ganju

Solution Architect, Nvidia Corporation

About Siddha Ganju
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.

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 archit...

Siddha Ganju

Solution Architect
Nvidia Corporation

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.

Leo Shiwei Li

President
Tencent Cloud Europe

Or Levi

Data Science Team Lead, eBay

About Or Levi
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.

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 billio...

Or Levi

Data Science Team Lead
eBay

Noa Barbiro

Group Product Manager Data Science, Booking.com

About Noa Barbiro
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.

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 we...

Noa Barbiro

Group Product Manager Data Science
Booking.com

Flo Pachinger

Developer Advocate, Cisco DevNet

About Flo Pachinger
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.

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

Marcus Granström

Senior Director of Engineering, Klarna

About Marcus Granström
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+.

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

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.

Sophie Seiwald

CEO
Mercedes Benz.io

Robin Moffatt

Developer Advocate, Confluent

Robin is a Senior Developer Advocate at Confluent, the company founded by the original creators of Apache Kafka, as well as an Oracle Groundbreaker Ambassador and ACE Director (Alumnus). His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop, and into the current world with Kafka. His particular interests are analytics, systems architecture, performance testing and optimization. Outside of work he enjoys drinking good beer and eating fried breakfasts, although generally not at the same time.

Robin Moffatt

Developer Advocate
Confluent

Dat Tran

Head of AI, Axel Springer AI

About Dat Tran
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.

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 pecu...

Dat Tran

Head of AI
Axel Springer AI

Jillian Augustine

Data Scientist, Mondi Group

About Jillian Augustine
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.

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

Tanay Pant

Tech Speaker, Crate.io

About Tanay Pant
Tanay Pant is an Indian author, hacker, developer and tech enthusiast. He is best known for his work on 'Building a Virtual Assistant for Raspberry Pi' published by Apress and 'Learning Firefox OS Application Development' published by Packt. He is also an official representative of Mozilla. He has been listed in the about:credits of the Firefox web browser for his contributions to the different open source projects of the Mozilla Foundation. He also writes for a number of websites like SitePoint and Tuts+ where he shares tips and tricks about web development.

Industry 4.0: Leveraging Machine Data for Business Success
Theme:Internet of Things
The rise in the use of sensors and IoT devices in factories and production floors has transformed the way how operations are conducted. Their impact on the efficiency and cost savings have been so significant that it has been dubbed as Industrialisation 4.0. Upgrading your existing data workflow incorrectly can defeat the purpose of real-time actionable guidance and can have huge cost implications. In this talk, you will learn how predictive maintenance is the holy grail of Industry 4.0 and how you can use CrateDB with an open-source stack to handle, enrich and derive valuable insights from the data. We will top this off with a real-world case study of a smart factory that made six-figure savings in 2018 through efficiency improvements. Join me and we shall put your machine data to work!

Tanay Pant

Tech Speaker
Crate.io

Anna Bacher

CTO, Jaroona GmbH

About Anna Bacher
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.

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

Bob Diachenko

Cyber Threat Intelligence Director & Journalist, SecurityDiscovery.com

About Bob Diachenko
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.

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 ...

Bob Diachenko

Cyber Threat Intelligence Director & Journalist
SecurityDiscovery.com

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.

Gertrud Kolb

CTO
Axel Springer Digital News Media

Emir Ombasic

Data Scientist, Jaggaer

About Emir Ombasic
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.

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 es...

Emir Ombasic

Data Scientist
Jaggaer

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.

Florian Rosenberg

Technical Director
Crayon

Eric Steinberger

CEO & AI Researcher , Climate Science

About Eric Steinberger
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.

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

Nils Heuer

Global Solutions Architect, Amazon Web Services

About Nils Heuer
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.

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

Dr. Claudia Viehweger

Chief Human Resources Officer, Axel Springer Digital News Media

As Chief Human Resources Officer at Axel Springer Digital News Media, the digital news service offered by BILD and WELT, Claudia takes care of the two major topics DIVERSITY and WOMEN IN TEC in addition to the issues Organizational Development & Change. It is crucial for Axel Springers innovation culture to foster diversity. It is a common understanding that only diverse teams build the best products, and we need multi-perspectives to identify our customers’ needs best. What do we, as an employer, have to do to encourage talented women to apply to us? How can we ensure that our people leave behind traditional role models and unconscious bias? Claudia studied law. Her academic career took her from Trinity College, Dublin, Ireland, to the Free University of Berlin, where she earned her doctorate. Before joining Axel Springer, she worked as a Senior Associate and Labor Law specialist at Raue LLP.

Dr. Claudia Viehweger

Chief Human Resources Officer
Axel Springer Digital News Media

Teemu Kinnunen

Data Scientist, Futurice

About Teemu Kinnunen
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.

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

Meher Anand Kasam

Software Engineer, Square Inc.

About Meher Anand Kasam
Meher is a seasoned software developer with apps used by tens of millions of users every day. Currently at Square, and previously at Microsoft, he shipped features for a range of apps, from Square’s Point of Sale to the Bing app. He was the mobile development lead for Microsoft’s Seeing AI app, which has received widespread recognition and awards from Mobile World Congress, CES, FCC, American Council of the Blind to name a few. A hacker at heart with a flair for fast prototyping, he has won close to two dozen hackathons and converted them to features shipped in widely-used products. He also serves as a judge of international competitions including Global Mobile Awards, Edison Awards.

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 archit...

Meher Anand Kasam

Software Engineer
Square Inc.

Pavol Luptak

Ethical Hacker, Nethemba

About Pavol Luptak
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.

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

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.

Hilda Kosorus

AI Advisor
Crayon

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.

Rune Syversen

CEO & Co-Founder
Crayon Group Holdings ASA

Oliver Arafat

Senior Solution Architect, Alibaba Cloud

About Oliver Arafat
Oliver Arafat works as a Senior Solution Architect at Alibaba Cloud where he helps customers of all sizes and industries reaching their full potential with cloud-based solutions. Prior to joining Alibaba Cloud, he held similar roles with Amazon Web Services and Microsoft.

The Future is already here – Open Sesame, Alibaba!
Theme:Cloud Computing
Alibaba is the heart of a global digital economy that touches people’s lives every day. No matter if it is cashless supermarkets blurring the lines between online and offline experiences, world’s biggest e-shopping festival generating more than 25 billion USD revenue on one single day, or smart cities, and smart factories: It is not a concept, it is already a reality and much of this is powered by Alibaba Cloud, world’s fastest growing public cloud provider. Let’s take a glimpse into the Alibaba Cloud cave – Open Sesame!

Oliver Arafat

Senior Solution Architect
Alibaba Cloud

Jihwan Chun

Software Engineer, PUBG

About Jihwan Chun
Jihwan Chun is a software engineer at PUBG Corporation who is enthusiastic about cloud infrastructure, container and Kubernetes. He 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....

Jihwan Chun

Software Engineer
PUBG

Sabria Lagoun

Neuroscience PhD candidate, Brainstorms

Sabria Lagoun

Neuroscience PhD candidate
Brainstorms

Marcus Jones

Lead Data Scientist, Ocean Protocol

About Marcus Jones
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.

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 pot...

Marcus Jones

Lead Data Scientist
Ocean Protocol

Cees van Wijk

Blockchain Engineer, ING-DiBa AG

About Cees van Wijk
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.

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 t...

Cees van Wijk

Blockchain Engineer
ING-DiBa AG

Björn Bohn

Editor, Heise Developer

Björn Bohn covers the latest news from the world of software development as an editor for the online channel heise Developer, one of Germany's biggest IT news sites. He is also organizing several tech conferences for developers, with topics ranging from Continuous Delivery to the use of JavaScript in enterprises. After hours you can usually find him hunting for obscure music and contemplating his next Japanese denim purchase.

Björn Bohn

Editor
Heise Developer

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.

Henrietta Egerth

Managing Director
FFG (Austrian Research Promotion Agency)

Jakob Linskeseder

Senior Web-Developer, karriere.at

About Jakob Linskeseder
· 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

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

Jelena Milosevic

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

About Jelena Milosevic
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.

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...

Jelena Milosevic

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

Alexandra Waldherr

Student, Chemical Engineering

About Alexandra Waldherr
Alexandra Waldherr is 17 years old and currently attend a higher technical college for chemical engineering.Since age 12 she's passionate about science, especially physics and chemistry of tiny matter. Besides school, she challenges herself in science competitions and Python/Arduino projects at home.In 2018 she finished the Viennese Physics' Olympiad best girl; this summer, she 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). She was invited to speak at the FifteenSeconds-Festival and she will give a talk on nanomaterials and biocomputing at Gainer-Festival 2019.

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

Gerta Sheganaku

Digital Transformation Strategist, Tricentis

About Gerta Sheganaku
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.

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 r...

Gerta Sheganaku

Digital Transformation Strategist
Tricentis

Gyutak Kim

Data Engineer, PUBG

About Gyutak Kim
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.

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

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.

Martin Gutberlet

Chief Digital Officer
Mondi Group

Tobias Schröder

Full Stack Wizard, METRONOM

About Tobias Schröder
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.

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 t...

Tobias Schröder

Full Stack Wizard
METRONOM

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.

Johannes Hochrainer

Senior Consultant & Trainer
Software Quality Lab

Mario Žagar

Principal Engineering Architect, Infobip

About Mario Žagar
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.

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

Ronald Luc

ML Research Engineer, Sclable

About Ronald Luc
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.

Ronald Luc

ML Research Engineer
Sclable

Anna Saranti

Doctoral student, Graz University of Technology (TU Graz)

About Anna Saranti
Anna Saranti is employed at the Medical University Graz in the FWF Project P-32554 'A reference model of explainable AI for the medicaldomain', 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.

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)

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.

Gerhard Hirczi

Managing Director
Vienna Business Agency

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.

Mali M. Baum

CEO & Founding Partner
WLOUNGE and MAGDA GROUP

Sanchit Singh

Computer Vision Lead, Sclable

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

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

Josef Hammer

Edge Computing / 5G Networks Expert with strong ties in the Blockchain and IoT Community

About Josef Hammer
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.

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 with strong ties in the Blockchain and IoT Community

Björn Wendland

Passionate Full Stack Developer & Clean Code Evangelist, METRONOM

About Björn Wendland
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 o...

Björn Wendland

Passionate Full Stack Developer & Clean Code Evangelist
METRONOM

Alexej Strelzow

Lead Web Developer/Architect & Scrum Master, BAWAG P.S.K.

About Alexej Strelzow
Alexej Strelzow is Lead Web Developer, Frontend Architect and Scrum Master. He has been working with Angular since the beta phase and recently gave birth to BAWAG P.S.K.s' Micro Frontend Architecture.Alexej inherently understands that only happy developers are able to craft great software and that an empowering environment is key. When not working, Alexej enjoys traveling with the wife, petting furry animals and eating smoked Russian fish with Georgian wine.

Black Magic: Micro Frontends without Web Components
Theme:Artificial Intelligence
Do you want to know how to develop a huge frontend app with low risk by applying divide and conquer?And are you also curios about the possibility of fully vertical and autonomous teams that work in parallel on that app?Then this workshop is for You! You will not only learn about the core idea of Micro Frontends, but also write one.In detail, after this Workshop you will know:- how to create an application that is based on a Micro Frontend Architecture which is based entirely on Angular but NOT Angular Elements and works in IE 11- how communication can be set up in such an architecture (DOM-Events vs. Event-Bus)- how Micro Frontends can be wired together to a single app SPA- how to support uniform styling throughout Micro Frontends- how to develop a Micro Frontend standalone using Web...

Alexej Strelzow

Lead Web Developer/Architect & Scrum Master
BAWAG P.S.K.

Friedrich Slivovsky

Postdoctoral Research Assistant at TU Wien, Part-time Data Scientist with Softwarepark

About Friedrich Slivovsky
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.

AI-powered future of software development. How can AI assist developers?
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 a...

Friedrich Slivovsky

Postdoctoral Research Assistant at TU Wien
Part-time Data Scientist with Softwarepark

Denise Mandt

Head of Sales Marketing, UpNano GmbH

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

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.

Markus Lenger

Developer & Trainer
Automated Software Testing GmbH

Simon Stiebellehner

Head of AI, craftworks GmbH

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 auto...

Simon Stiebellehner

Head of AI
craftworks GmbH

Matthias Lichtenthaler

Head of Digital Government & Innovation, Austrian Federal Computing Centre

About Matthias Lichtenthaler
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.

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

Linda Andersson

CEO, Artificial Researcher-IT GmbH

About Linda Andersson
The TU Wien alumni and entrepreneur Linda Andersson is now the CEO of the start-up Artificial Researcher-IT GmbH. In 2018 they launched the product idea ‘Artificial Researcher in Science’ which received the Commercial Viability Award from the Austrian Angel Investors Association. Linda has 15 years of experience in the text mining industry and worked with different aspects associated with scientific literature text mining. Parallel with her academic studies, Linda has been working in the industry, designing different domain-specific patent text mining solutions. Her PhD Thesis, “The Essence of Patent Text Mining,” was a product of close collaboration with the text mining industry.

From idea to the first clients: Building a deep-tech startup
Theme:Artificial Intelligence
In this seminar two of the co-founders of Artificial Researcher IT GmbH will focus on how to develop a startup out of a deep-tech idea. We discuss why you need different types of know-how in your tech-startup and how co-creation and public funding is a great way allowing you to develop early technologies into marketable products. Furthermore, we would like to tell you about how we found our niche, and the pivots necessary along the way to do so. Artificial Researcher is an information technology company and a start-up in the text mining industry. AR-IT has received funding for two research prototype projects 'Artificial Researcher in Science' supported by Vienna Business Agency and 'Artificial Researcher in Open Access' supported by Austria Wirtschaft Service. We will within these prototype pro...

Linda Andersson

CEO
Artificial Researcher-IT GmbH

Nina Andersson

Communication & Marketing Manager and Co-Founder, Artificial Researcher-IT GmbH

About Nina Andersson
Nina Andersson has for the last decade worked with leadership teams in several industries ranging from telecom in Europe to fashion in USA and is now with a company in the fast-moving consumer goods market. Dedicated to communications and an interest in the arts she has a degree in art history and has also specialized in communication. Nina got involved with AR-IT as an investor and Co-founder and is now responsible for the company's communication and marketing.

From idea to the first clients: Building a deep-tech startup
Theme:Artificial Intelligence
In this seminar two of the co-founders of Artificial Researcher IT GmbH will focus on how to develop a startup out of a deep-tech idea. We discuss why you need different types of know-how in your tech-startup and how co-creation and public funding is a great way allowing you to develop early technologies into marketable products. Furthermore, we would like to tell you about how we found our niche, and the pivots necessary along the way to do so. Artificial Researcher is an information technology company and a start-up in the text mining industry. AR-IT has received funding for two research prototype projects 'Artificial Researcher in Science' supported by Vienna Business Agency and 'Artificial Researcher in Open Access' supported by Austria Wirtschaft Service. We will within these prototype pro...

Nina Andersson

Communication & Marketing Manager and Co-Founder
Artificial Researcher-IT GmbH

Stefan Gindl

Freelance Data Scientist & Software Developer, Stefan Gindl IT Services and Products

Stefan Gindl is a freelance data scientist from Vienna. His area of expertise is natural language processing (NLP) and media analytics. Stefan received his PhD for his research in sentiment analysis, a sub-area of NLP, teaching computers to understand affective statements of humans. He has more than a decade of experience in software development and used his skills in a variety of scientific projects, for example to apply NLP for media monitoring and social media analysis.

Stefan Gindl

Freelance Data Scientist & Software Developer
Stefan Gindl IT Services and Products

Eduard-Andrei Radulescu

Full Stack Web Developer, BAWAG P.S.K.

About Eduard-Andrei Radulescu
Eduard-Andrei Radulescu is a passionate person, eager to learn and develop himself. He has been programming since high school and has always enjoyed it. He joined Bawag PSK as a full stack developer in 1st of July 2019 and has worked in similar positions in agile teams before for more than 2 years. Personally he likes drawing and hiking and has been a handball player all his life.

Black Magic: Micro Frontends without Web Components
Theme:Artificial Intelligence
Do you want to know how to develop a huge frontend app with low risk by applying divide and conquer?And are you also curios about the possibility of fully vertical and autonomous teams that work in parallel on that app?Then this workshop is for You! You will not only learn about the core idea of Micro Frontends, but also write one.In detail, after this Workshop you will know:- how to create an application that is based on a Micro Frontend Architecture which is based entirely on Angular but NOT Angular Elements and works in IE 11- how communication can be set up in such an architecture (DOM-Events vs. Event-Bus)- how Micro Frontends can be wired together to a single app SPA- how to support uniform styling throughout Micro Frontends- how to develop a Micro Frontend standalone using Web...

Eduard-Andrei Radulescu

Full Stack Web Developer
BAWAG P.S.K.

Simon Seres

CEO & Co-Founder, nymea.io

About Simon Seres
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.

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

Christian Jandl

Researcher, St. Pölten UAS

Christian Jandl

Researcher
St. Pölten UAS

Iraklis Agiovlasitis

International Technology Transfer and Innovation Management, FFG Austrian Research Promotion Agency

About Iraklis Agiovlasitis
Iraklis Agiovlasitis is co-ordinating the innovation and technology transfer services of the Enterprise Europe Network in the FFG. He holds a Ph.D. in machine learning and was co-founder of a FinTech start-up, which he successfully led it to an exit in 2016. He has more than 15 years of consulting experience for major public and private organisations across diverse countries and cultures on topics of innovation, R&D funding business strategy development & coaching. He has been working for the Enterprise Europe Network since 2013 and is passionate about helping SMEs to achieve impact.

EU Innovation Kitchen
Theme:Artificial Intelligence
Europe is home to many innovative start-ups and SMEs, yet few succeed to scale up and become global leaders. Public policy and funding need to fill the gaps in the existing support schemes and cover each stage of the innovation chain – from idea to market deployment – and scale-up. This workshop aims to provide inspiration and 'cooking advice' to top-class innovators, entrepreneurs, small companies, universities and scientists with bright ideas and the ambition to scale up internationally with the support of the European Commission. We will be discussing together with companies funded by such programmes what's in the menu, how Horizon 2020 provides funding, advice and networking opportunities for the next generation of software, hardware, AI or other cutting-edge technologies and how you can coo...

Iraklis Agiovlasitis

International Technology Transfer and Innovation Management
FFG Austrian Research Promotion Agency

Angelo Nuzzo

Programm Manager ICT, European and International Programmes, FFG Austrian Research Promotion Agency

About Angelo Nuzzo
Angelo Nuzzo is currently working as a National Expert for the H2020 Research Programme in Information Technology aand SMEs funding opporutinities. He holds a PhD in Biomedical Engineering and he has over 10 years of experience in international R&D projects in the field of Information Technology for Molecular Diagnostics. Before joining FFG, he held several positions as bioinformatics software engineer, both in clinical research and pharmaceuticl industry. In the last years he focused on the intersection between business and science in order to support innovative start-ups and SMEs to succeed in trasferring advanced technologies into business growth.

EU Innovation Kitchen
Theme:Artificial Intelligence
Europe is home to many innovative start-ups and SMEs, yet few succeed to scale up and become global leaders. Public policy and funding need to fill the gaps in the existing support schemes and cover each stage of the innovation chain – from idea to market deployment – and scale-up. This workshop aims to provide inspiration and 'cooking advice' to top-class innovators, entrepreneurs, small companies, universities and scientists with bright ideas and the ambition to scale up internationally with the support of the European Commission. We will be discussing together with companies funded by such programmes what's in the menu, how Horizon 2020 provides funding, advice and networking opportunities for the next generation of software, hardware, AI or other cutting-edge technologies and how you can coo...

Angelo Nuzzo

Programm Manager ICT, European and International Programmes
FFG Austrian Research Promotion Agency

Milen Radkov

CEO, hack - Blockchain & DLT Consulting

Building decentralized applications on aeternity
Theme:Artificial Intelligence
This workshop is an intensive and fast-paced training course that will help learners quickly grasp the principles behind the æternity architecture, as well as learn how to build basic smart contracts on the platform through Sophia. At the second part of this crash course, participants will also experience first-hand how to integrate æternity features into their contracts.The workshop covers functional Mark-up Language (ML) Sophia, built-ins, functional programming, first-class objects, Oracles, State channels, among others. We also tackle real-life use cases to help participants gain an understanding of its potential implications in solving global problems—both for business and social impact.

Milen Radkov

CEO
hack - Blockchain & DLT Consulting

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.

Milan Todorovic

Swift/iOS Trainer & Software Engineer
Crossover

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).

Bernhard Sagmeister

Managing Director
AWS

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.

Marcus Kapun

Chief Digital Officer
BAWAG P.S.K.

Andreas J. Ludwig

Chairman of the Board, Umdasch

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.

Andreas J. Ludwig

Chairman of the Board
Umdasch

Name

Name

Newsletter

Be the First to Know

Subscribe to our newsletter and be the first to get exclusive offers, discount codes, talk excerpts, recorded videos, virtual goodies and updates on our events.