Data

Data regulation doesn’t necessarily cause economic harm. Markets — and consumers — can still derive economic benefits from data collection when it’s tempered by reasonable privacy guardrails.

As AI tools become more widely available, competitive advantage will depend on the trust, data, expertise, operating capabilities, and work redesign companies build around them.

In today’s AI-driven environment, robust data monetization capabilities are both a competitive advantage and a precondition for success, research from the MIT Sloan School of Management finds.

A new research briefing explains how semantic layers make enterprise data more accessible and understandable by humans and machines.

Few AI pilots scale successfully. Asking key questions about goals, governance, and culture can help them thrive.

Three levers — data architecture, data preparation, and data permissions — determine whether data becomes a reusable strategic asset or stays trapped in silos.

As AI systems shape more decisions, some individuals and businesses are left out entirely. New research highlights how data gaps create hidden risks for organizations.

Sound economic planning and policymaking requires trustworthy data. Private data can serve as a complement but not fully replace official U.S. statistics.

AI industry watchers Thomas Davenport and Randy Bean expect the AI hype cycle to slow as organizations focus on infrastructure and strategy.

New research provides insights for using AI agents in clinical settings.