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?

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 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.

AI adoption in the enterprise 2020 O’Reilly survey results show that AI efforts are maturing from prototype to production, but company support and an AI/ML skills gap remain obstacles.

5 key areas for tech leaders to watch in 2020 Our annual analysis of the O’Reilly online learning platform reveals Python’s continued dominance and important shifts in infrastructure, AI/ML, cloud, and security.

The state of data quality in 2020 O’Reilly survey highlights the increasing attention organizations are giving to data quality and how AI both exacerbates and alleviates data quality issues.

Reinforcement learning for the real world Edward Jezierski on the science of bringing creativity and curiosity together in a learning system.

8 AI trends we’re watching in 2020 Roger Magoulas looks at developments in automation, hardware, tools, model development, and more that will shape (or accelerate) AI in 2020.