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Photos: © Melanie Windbüchler & © Radka Klein & © Tamás Künsztler
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Developers, Tech Pioneers & Heroes of Innovation
About Tanmay BakshiTanmay 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 developersTheme: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.
AI expert at age 15
IBM Cloud Advisor
About Cassie KozyrkovAs 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 FutureTheme: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.
About Siddha GanjuSiddha 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 devicesTheme: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...
Leo Shiwei Li
About Or LeviThrough 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 – FakesTheme: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...
About Noa BarbiroNoa 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 PersonalizationTheme: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...
About Flo PachingerFlorian (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 nowTheme: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.
About Marcus GranströmMarcus 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.