Start the new year with new questions and new ideas from the magazine.

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

MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.

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).

Businesses have identified two types of generative AI: broadly applicable tools that boost personal productivity, and tailored solutions for specific purposes.

Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.

Employee analytics are being used by organizations in new ways. A focus on dignity improves data management and reinforces leaders’ respect for workers.

Launching artificial intelligence initiatives can be a daunting task. Start with these five data monetization capabilities.

Many AI programs do not generate business gains. New research finds the key to success is scientific, application, and stakeholder consistency.

Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.