Data Science and AI in Context

Peter Norvig and Alfred Spector on their acclaimed new book on data science, and recent trends in AI.

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Peter Norvig (of Google and Stanford) and Alfred Spector (of MIT) are part of the team of authors behind the must-read book Data Science in Context: Foundations, Challenges, Opportunities. We discussed their recent book and their Data Science Analysis Rubric, and we also talked about a trending topics in AI including looming regulations, synthetic data, and Large Language and Foundation Models.

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Make sure you read and share their new book! As I noted in a recent newsletter Data Science In Context is a valuable resource for anyone looking to use data science and AI in real-world applications. I encourage you to check it out and share it with your colleagues (more details below).

Peter Norvig be speaking at the AI Conference in San Francisco (Sep 26-27). Use the discount code FriendsofBen18 to save 18% on your registration.

Interview highlights – key sections from the video version:


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Featured Image: Data Science Analysis Rubric (from “Data Science In Context”); graphic by Ben Lorica. Seven major considerations for determining data science’s applicability to a proposed solution.