AI adoption is being fueled by an improved tool ecosystem
We now are in the implementation phase for AI technologies.
O’Reilly Radar Analysis
Maximizing paper clips
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.
Becoming a machine learning company means investing in foundational technologies
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
The topics to watch in software architecture
Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O’Reilly Software Architecture Conference.
How AI and machine learning are improving customer experience
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.
Making Facebook a scapegoat is a mistake
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems.
Toward the next generation of programming tools
Programmers have built great tools for others. It’s time they built some for themselves.
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.
Building data science capacity in your organization
Shingai Manjengwa shares insights from teaching data science to 300,000 online learners.
The unstoppable rise of white box data
Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model.
Privacy, identity, and autonomy in the age of big data and AI
Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.
The enterprise data cloud
Mick Hollison describes why hybrid and multi-cloud is the future for organizations that want to capitalize on machine learning and AI.
Making the future
James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.
Making data science useful
Cassie Kozyrkov explains how organizations can extract more value from their data.
Highlights from the Strata Data Conference in London 2019
Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more.
Sustaining machine learning in the enterprise
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.