Companies that intend to use generative artificial intelligence should first consider how people regard work created by AI, humans, or some combination of the two.

New research reveals that cash-constrained companies suffer the most when supply chain disruptions delay the production and delivery of new equipment.

Former Nutrisystem CEO Dawn Zier on straightforward communication, zero-tolerance harassment policies, and rethinking the emphasis on networking.

Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.

MIT Sloan’s Hal Gregersen explains question bursts, question audits, and why it’s important for leaders to not just ask questions but listen to the answers.

A responsible AI framework mitigates the risks from artificial intelligence systems developed outside the company.

A startup showcase featured AI-enabled apps for small-business owners, wearable devices, and financial trading at quantum speed.

Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.

Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.

No. 1: Taking responsibility for analytics and artificial intelligence.