AI isn’t magic. It’s computer science.
Rob Thomas and Tim O’Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs.
Data
Our take on the ideas, information, and tools that make data work.
How disruptive tech is reshaping the financial services industry
Swatee Singh looks at how the financial services industry is using AI, ML, mixed reality and other technologies.
Recent trends in data and ML
Ben Lorica dives into emerging technologies for building data infrastructures and machine learning platforms.
Unleash the power of data at scale
Jeremy Rader explores Intel’s end-to-end data pipeline software strategy.
Everything is connected and the clock is ticking
Sara Menker and Nemo Semret outline the complex and interconnected factors that shape the agriculture industry.
Cisco Data Intelligence Platform
Siva Sivakumar explains how the Cisco Data Intelligence Platform brings together data, AI, compute, and storage.
Understanding deep neural networks
The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning.
Topics to watch at Strata NY '19
Machine learning, artificial intelligence, data engineering, and architecture are driving the data space.
Becoming a machine learning practitioner
The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit.
Labeling, transforming, and structuring training data sets for machine learning
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.
Make data science more useful
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business.
Acquiring and sharing high-quality data
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.
Tools for machine learning development
The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning.
How to become a truly data-driven organization
From basic BI to using AI to automate and augment human endeavors, data-driven systems are increasingly powerful and pervasive in the enterprise.
Iterative competition is a catalyst for better problem solving
Kaggle is more than a machine learning competition platform; it’s a facilitator for efficient problem solving and a community for sharing and learning.
Use technology to do what you do better
Innovation has the power to change industries, but new technology doesn’t always mean you need a new business model.
Enabling end-to-end machine learning pipelines in real-world applications
The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models.
The quest for high-quality data
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge.
Bringing scalable real-time analytics to the enterprise
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data.
Applications of data science and machine learning in financial services
The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China.
Becoming an ML company means investing in foundational tech
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
Real-time entity resolution made accessible
The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies.
Rise of the (advertising) machines
Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.
Combining creativity and analytics
David Boyle shares lessons on how analysts can harness data and creativity to build partnerships.