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The writers behind this newsletter.
We inspire people to do new things—and do things better—by providing them with the skills and understanding that are necessary for success, guided by our unique network of experts and innovators. Learn more at oreilly.com.
Creator of Python pandas, co-creator of Apache Arrow. Currently developing roborev.io, agentsview.io, msgvault.io
Solutions Architect for Generative AI
PhD, English, Stanford '85. VP Content Strategy, O'Reilly Media.
I've spent two decades writing O'Reilly books on software development and project management, including Head First C# and Learning Agile. I'm now exploring what changes when AI writes the code — and what doesn't. Passionate about all things code.
Juliette van der Laarse is an engineering leader focused on platforms and enablement. She builds practical frameworks and ways of working that improve developer experience, reliability, and engineering quality at scale.
Product and fraud-fighting leader. VP product at the Doubleverify Fraud Lab & co-chair of the academic CyberWeek FraudCon Conference. Co-author of "Practical fraud prevention" and the "AI fraud fighter playbook" at O'Reilly.
AI technologist at The AI Alliance and IBM Research
Decade+ fraud prevention & cybersecurity experience. Co-author of Practical Fraud Prevention. Book on GenAI in online fraud on its way. Content marketing consultant, especially in fraud & cybersecurity, getting the right words in the right place.
Varun Raj is a cloud and AI engineering executive specializing in governance architectures for large-scale AI systems. He contributes expert perspectives on cloud platforms and AI governance through publications, forums, and invited discussions.
Computer scientist and political philosopher. Expert in Massachusetts and Boston politics. #NeverTrump Republican. Pro-LGBT medieval Catholic father of lots of small children. We must stop the killer robots or teach them our religions.
Cloud Data Architect and creator of the open-source Decision Intelligence Runtime (DIR). I bridge probabilistic AI reasoning with deterministic execution to make autonomous agents safe, auditable, and production-ready.
Exploring at the intersection of cultural anthropology, computer science, and media.
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