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

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.

Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.

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