Preparing for AI
What you need to learn to partner with generative AI
Radar Column
Monthly opinion, analysis, and perspective from the O’Reilly Radar team.
Universal API Access from Postgres and SQLite
Technology Trends for 2024
What O’Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed
Questions for 2024
Not Forgotten
ChatGPT isn’t the only important trend in technology.
Technology Trends for 2023
What O'Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed
What Does Copyright Say about Generative Models?
Not much.
2022 Cloud Salary Survey
Trends for Compensation, Remote Work, Training, and More
Recommendations for all of us
Don’t misinterpret behavioral data if you want to be fair to everyone in the household
Epstein Barr and the Cause of Cause
If a cause rarely causes something, is it a cause?
Defending against ransomware is all about the basics
Authentication, Backups, Updates, and Least Privilege
The End of Silicon Valley as We Know It?
Four ways the party may be coming to an end
Patterns
Patterns give you a language for discussing solutions to problems.
What is functional programming?
Be as functional as you want to be
On COBOL
Every time the cry for COBOL programmers has gone up, we’ve muddled through; this time, we should do something better.
Governance and Discovery
The death of Agile?
In this edition of the Radar column, we examine the big picture around Agile, and look at what it means and what it doesn't.
AI meets operations
In this edition of the Radar column, we explore questions and challenges facing ops teams as they attempt to assimilate AI.
Rethinking programming
In this edition of the Radar column, we look at how the tools and techniques of programming are poised to evolve.
A 5G future
In this edition of the Radar column, we explore the limitations and possibilities of high-speed 5G connectivity.
Quantum supremacy shows we're on the right track
In this edition of the Radar column, we explore Google’s quantum supremacy milestone.
TinyML: The opportunities of low-power ML apps
In this edition of the Radar column, we look at what’s possible when ML apps can work with minimal or inconsistent power supplies.
ML needs different deployment
As organizations embrace machine learning, the need for new deployment tools and strategies grows.