Data

Indirect emissions that occur along a company’s value chain account for 75% of the organization’s overall emissions, on average. They remain difficult to track.

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

The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.

When enterprises address opportunities or threats immediately, they perform better. A new research briefing looks at the traits such companies share.

To truly reap the benefits of artificial intelligence, executives need an understanding of how AI systems operate and what they do well.

MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.

Companies should prioritize the capture, management, and availability of data, according to the 2024 Data and AI Leadership Executive Survey.

Company leaders need to be on top of best practices and legal requirements for data protection, including mandatory incident reporting and bans on ransomware payments.

MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.

A new study finds a 26% decline in data storage and a 20% increase in the cost of data.