Archives: Community Content | Page 5

Quantum computer & data processing – disruptive or destructive

With William Hurley (Whurley)

, Matyas Kovacs

, Shahar Graf

The invention of the capable quantum computer promises to undermine how we work with data. Processing unbelievably large amounts of data very quickly would change how the world works. But not necessarily in a good way. Some scientists are

DN22 •
Data Science

Commercial AI Ethics

With Jessica Graves

This talk will help us zoom out on what precisely we mean when we talk about bring AI ethics to life in a commercial context, and what types of constraints that puts on our development of artificial intelligence applications.

DN22 •
Data Science

Data empowered Precision Medicine

With Kai Berner

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DN22 •
Dataconomy

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

Embodied AI – How Robotics will define our future

With Elisa Czerski

Panel about “AI safety and AI alignment” moderated by Johannes Stager Want priority access to our Community Content library? Sign up for DN22 or log in with your Premium or VIP Membership. Username Password Remember Me Forgot

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

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

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

A distributed data platform to drive transformation

With Eyal Metzkel

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DN22 •
Data Science

MLOps and Data in Deployment

With Maximilian Werk

, Verena Dittmer

, Tobias Zwingmann

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DN22 •
Data Science