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.

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

Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.

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.

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.