COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.

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.

The MIT Laboratory for Financial Engineering (LFE) and Informa Pharma Intelligence announced a new initiative, Project ALPHA (Analytics for Life-sciences Professionals and Healthcare Advocates).

Experts talk about the rise of TikTok, the power of social media, and why we should be cautious about artificial intelligence.

Research about quantum computing, companies run by “geeks,” and how artificial intelligence will affect workers.

Uncertainty will abound in 2023. Focus now on resilience, agility, examining external factors, and innovation in artificial intelligence.

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

At this year's MIT Platform Summit, experts discussed how digital platforms will address artificial intelligence, new regulations, and the rise of the creator economy.

Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.

A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.