In a $3.2 trillion industry, nobody can draw a complete picture of a patient’s life and health.

MIT Sloan professor explains why you shouldn’t look at markets from a purely mechanistic perspective.

Here’s what two MIT business analytics students learned in the new From Analytics to Action class.

MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.

AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.

A Salesforce case study shows how organizations can make sure digital platforms meet the needs of customers, partners, and internal developers.

To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.

One core operational improvement — moving from a “push” to a “pull” method of scheduling — can have large implications for organizations’ agility.

Generative artificial intelligence can help designers come up with new ideas, according to a new study.

Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.