Managing machine learning in the enterprise: Lessons from banking and health care
A look at how guidelines from regulated industries can help shape your ML strategy.
Research
Analysis of notable trends based on original surveys, usage, and data sets.
How O’Reilly Radar spots the next big thing
Roger Magoulas explains how O’Reilly’s Radar methodology identifies emerging tech trends businesses need to know.
AI and machine learning will require retraining your entire organization
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce.
AI adoption is being fueled by an improved tool ecosystem
We now are in the implementation phase for AI technologies.
What’s driving open source software in 2019
Cloud native, AI/ML, and data tools and topics are areas of emphasis for the O’Reilly Open Source Software Conference.
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.
Sustaining machine learning in the enterprise
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
How companies adopt and apply cloud native infrastructure
Survey results reveal the path organizations face as they integrate cloud native infrastructure and harness the full power of the cloud.
Checking in on AI tools
Ben Lorica and Roger Chen assess the state of AI technologies and adoption in 2019.
Three surveys of AI adoption reveal key advice from more mature practices
An overview of emerging trends, known hurdles, and best practices in artificial intelligence.
3 emerging trends tech leaders should watch in 2019
Analysis of the O’Reilly online learning platform reveals a new approach to technical architecture, the rise of blockchain, and shifts in programming language adoption.
Artificial intelligence and machine learning adoption in European enterprise
How companies in Europe are preparing for and adopting AI and ML technologies.
How companies are building sustainable AI and ML initiatives
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
Overcoming barriers to AI adoption
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
Managing risk in machine learning
Considerations for a world where ML models are becoming mission critical.
The state of automation technologies
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
O’Reilly Radar: Systems engineering tool trends
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.