Our take on the ideas, information, and tools that make data work.
The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts.
Experts explore new trends, tools, and techniques in data and machine learning.
Arun Murthy introduces the open source Cloudera Data Platform (CDP).
Jed Dougherty presents the trailer of the upcoming Data Science Pioneers documentary.
Barbara Eckman shares lessons learned from early big data mistakes and the progress her team at Comcast is making toward a big data vision.
Jonathan Foster explains why language reveals ethical challenges we couldn’t encounter with GUI-powered experiences.
Edward Jezierski discusses the ways reinforcement learning is used across Microsoft.
Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate.
The Strata Data Awards recognize the most innovative startups, leaders, and data science projects from Strata sponsors and exhibitors.
Daniel Hernandez looks at how a unified, prescriptive information architecture can help organizations unlock the value of their data.
Alan Smith says combining visualization and sonification could take the presentation of data into the expanding universe of screenless devices and products.
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting.
James Malone introduces new Google Cloud capabilities that help data professionals build scalable and flexible applications faster.
Patrick Lucey explains methods to find play similarity using multi-agent trajectory data, as well as predicting fine-grain plays.
Rob Thomas and Tim O’Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs.
Swatee Singh looks at how the financial services industry is using AI, ML, mixed reality and other technologies.
Ben Lorica dives into emerging technologies for building data infrastructures and machine learning platforms.
Jeremy Rader explores Intel’s end-to-end data pipeline software strategy.
Sara Menker and Nemo Semret outline the complex and interconnected factors that shape the agriculture industry.
Siva Sivakumar explains how the Cisco Data Intelligence Platform brings together data, AI, compute, and storage.
The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning.
Machine learning, artificial intelligence, data engineering, and architecture are driving the data space.
The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit.
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.