InfoTribes, Reality Brokers
The InfoLandscape is fractured and shared reality is breaking down: who have become our Reality Brokers?
AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
The Next Generation of AI
Is a new generation of AI systems arising from cross-fertilization between different AI disciplines?
Product Management for AI
5 things on our data and AI radar for 2021
Where Programming, Ops, AI, and the Cloud are Headed in 2021
Following O'Reilly online learning trends to see what's coming next.
Our Favorite Questions
Asking very simple questions often leads to discussions that give much more insight than more complex, technical questions.
AI Product Management After Deployment
The AI product manager’s job isn’t over when the product is released. PMs need to remain engaged after deployment.
How to Set AI Goals
Identifying AI opportunities and setting appropriate goals are critical to AI success, and yet can be difficult to do in practice. Some reasons for this include lack of AI literacy, maturity, and many other factors.
Pair Programming with AI
Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science
All-in-one platforms built from open source software make it easy to perform certain workflows, but make it hard to explore and grow beyond those boundaries.
Bringing an AI Product to Market
Previous articles have gone through the basics of AI product management. Here we get to the meat: how do you bring a product to market?
Power, Harms, and Data
Data is often biased. But that isn’t the real issue. Why is it biased? How do we build teams that are sensitive to that bias?
AI, Protests, and Justice
COVID-19 and Complex Systems
Decision-Making in a Time of Crisis
A Bad Outcome Doesn't Mean a Bad Decision
Machine Learning and the Production Gap
Reclaiming the stories that algorithms tell
Getting curious about the numbers attached to other people can help us to use data wisely—and to see others clearly.
What to Do When AI Fails
Practical Skills for The AI Product Manager
When models are everywhere
How data privacy leader Apple found itself in a data ethics catastrophe
Companies that succeed will protect, fight for, and empower their users
What you need to know about product management for AI
A product manager for AI does everything a traditional PM does, and much more.
The unreasonable importance of data preparation
Your models are only as good as your data.
6 trends framing the state of AI and ML
O’Reilly usage analysis shows continued growth in AI/ML and early signs that organizations are experimenting with advanced tools and methods.