From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.

AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need…

Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.

Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.

Programmers have built great tools for others. It’s time they built some for themselves.

Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model.

Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.

Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.

David Boyle shares lessons on how analysts can harness data and creativity to build partnerships.

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies.

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.

Cassie Kozyrkov explains how organizations can extract more value from their data.

Cait O’Riordan discusses the North Star metric the Financial Times uses across the organization to drive subscriber growth.

Joleen Liang explains how AI and precise knowledge points can help students learn.

James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers.

Thomas Henson considers how AI will shape the experiences of future generations.

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more.

Martial Hebert offers an overview of challenges in AI for robotics and a glimpse at the exciting developments emerging from current research.

A new survey sheds light on how enterprises are working with cloud-native technologies.

More than anything else, O'Reilly's AI Conference was about making the leap to AI 2.0.

In today’s highly competitive business and talent landscape, promoting continual employee learning and development is essential. By engaging with employees at the right time, in an effective manner…

Sean Gourley considers the repercussions of AI-generated content that blurs the line between what's real and what's fake.

A top challenge is overcoming security and compliance obstacles, hurdles that continue to require attention when considering cloud native implementations.