We now are in the implementation phase for AI technologies.
We won’t get the chance to worry about artificial general intelligence if we don’t deal with the problems we have in the present.
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.
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.
The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies.
Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications.
David Boyle shares lessons on how analysts can harness data and creativity to build partnerships.
Shingai Manjengwa shares insights from teaching data science to 300,000 online learners.
Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model.
Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
Cait O’Riordan discusses the North Star metric the Financial Times uses across the organization to drive subscriber growth.
Mick Hollison describes why hybrid and multi-cloud is the future for organizations that want to capitalize on machine learning and AI.
James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.
Cassie Kozyrkov explains how organizations can extract more value from their data.