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Modern Data Centers to Accelerate All Workloads

With Axel Koehler

“From AI and data analytics to high-performance computing (HPC) , data centers are key to solving some of the most important challenges. The end-to-end NVIDIA accelerated computing platform, integrated across hardware and software, gives the blueprint to a robust,

DN22 •
Data Science

Against Dark Patterns – From Deceptive Design to Trust

With Ame Elliot

Learn about emerging trends in combatting deceptive design (formerly known as dark patterns) based on a series of global multi-stakeholder workshops from the World Wide Web Foundation’s Tech Policy Design Lab. Learning from leaders from over 20 countries, we

DN22 •
Data Science

Design with human data the human-centered way

With Thomas Otto

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DN22 •
Data Science

Applied Data Incubator Panel: Why is NLP the future of AI?

With Barak Shalom

, Jakub Bares

, Daniel Pavlicek

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DN22 •
Data Science

Panel – Recommendation engines – the next frontier

With Benjamin Kempinski

, Paul Pallin

, Torben Nagel

The next frontier with Eyal Matzkel Head of Engineering at AVIV Group, Benjamin Kempinski (Jokr and ArgmaxML., Recsplain) moderated by Torben Nagel, Founder at Tyreos Ventures Want priority access to our Community Content library? Sign up for DN22 or

DN22 •
Data Science

Project Paulina

With Radek Nagay

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DN22 •
Data Science

Running AB tests at scale

With Jakob Graff

When does it make sense to invest in AB testing and how can an organisation effectively scale AB testing? This talk introduces a holistic framework for testing at scale and highlights best practices and pitfalls. The talk is relevant

DN22 •
Data Science

ML with humans – Integrating experts into the learning process

With Amit Leibovitz

In our discussion, we’ll explore active learning and human-in-the-loop (HITL), and how Imperva has implemented these approaches to defend against DDOS attacks. We’ll explain why we had to go beyond a general learning system alone to accomplish our goal,

DN22 •
Data Science

Building an explainable recommender system

With Benjamin Kempinski

“Recommendation systems became in integral part of our online shopping and content consumption. With cloud services and techniques like deep learning it has become dead-simple to fit a model to your data and have a black box model. However,

DN22 •
Data Science

How biased is our knowledge of the world and why?

With Franziska Heine

Franziska’s keynote “How biased is our knowledge of the world and why? looks at data bias in open data environments. Specifically, Franziska explains how Wikipedia and Wikidata address this challenge and how possible solutions can look like. Want priority

DN22 •
Data Science