Is AI human-ready?
Aleksander Madry discusses roadblocks preventing AI from having a broad impact and approaches for addressing these issues.
Aleksander Madry discusses roadblocks preventing AI from having a broad impact and approaches for addressing these issues.
Martial Hebert offers an overview of challenges in AI for robotics and a glimpse at the exciting developments emerging from current research.
Joleen Liang explains how AI and precise knowledge points can help students learn.
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data.
The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.
Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots.
Google BigQuery co-creator Jordan Tigani shares his vision for where cloud-scale data analytics is heading.
The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution.
Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections.
Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.
Peter Singer explores the new rules of power in the age of social media and how we can navigate a world increasingly shaped by "likes" and lies.
The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.
Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning.
Jed Dougherty plots AI examples on a matrix to clarify the various interpretations of AI.
Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data.