Enterprises are investing billions in AI, yet an MIT study estimates that 95 percent of Gen AI projects fail. The root cause is almost never the model. It is trust. You cannot operationalize AI when ...

Many organizations have formal data governance programs in place, yet they struggle to translate policy into business impact. That’s often because data governance is still viewed as a back-office ...

AI offers improved decision-making and efficiency. But it also introduces significant cybersecurity and governance challenges ...

Data stewardship and data governance are essential concepts for companies with a growing volume of data. This article compares these approaches to data management. Data stewardship and data governance ...

By Dr. Kofi Anokye Owusu-DarkoData. Digital governance. Artificial intelligence. These terms appear together so frequently in policy documents, legislative debates, and governance discussions that ...

Without strong data governance, AI doesn't just scale innovation-it scales risk, amplifying data quality issues, compliance exposure, bias, and untrusted outcomes across the organization. Instead of ...

In today’s rapidly evolving digital landscape, data is a powerful driver of economic growth, innovation, and societal progress. However, without coherent and inclusive data governance frameworks risks ...

Is it better to monitor for quality or detect problems? It depends. Here’s how to choose between active and passive data governance. The goal of data governance is to enable data operations that can ...

Subscribe to our email list for the latest news, information, and commentary from the Berkman Klein Center and our community. Unless otherwise noted this site and its contents are licensed under a ...

Lauren Glenn Manfuso is a journalist and editor in the Washington D.C. metro area. Her work has appeared in Prevention magazine online, the Miami Herald and USA Today. If college applicants and ...