MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process

Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.

Firms that embrace digital innovation can see value from operations, customers, and becoming a go-to destination in an ecosystem. Kaiser Permanente is one standout.

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

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.

With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.

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

Succeeding with Web3 means creating value with blockchain and managing decentralized governance.

Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.

In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.