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A new book aims to help business leaders separate real AI value from overhyped claims.

Adding images to predictive models can help retailers estimate return rates as they decide what to feature on their websites.

This collection of prompt templates functions like cognitive scaffolding, providing structure without limiting options as you innovate.

When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.

Six illustrations we loved this year.

A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.

MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.

Health care, and helping hands for those with limited resources.

Highlights from Gary Gensler and Lily Bailey’s “Deep Learning and Financial Stability” outline five ways AI could lead to future financial crises.

A new MIT Sloan Experts Series talk explains how algorithms and humans can work together to compensate for blind spots and create clearer outcomes.