Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

For many CIOs, data governance has become synonymous with delay. Access requests move through ticketing systems, approvals stretch across weeks, and data ...

The more disciplined an organization is about its master data and governance, the safer it will feel pushing AI agents toward higher-impact decisions.

I spend a lot of time with city and county teams trying to wrangle data into something we can trust and actually use. When folks ask where to start, I don’t point to a tool, I point to governance. Not ...

Officials unlock artificial intelligence value by fixing governance, metadata and pipelines first — building trusted, shareable data foundations across missions.

Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and improve performance through integrating data and using data ...

As data moves beyond institutional systems, higher education faces a growing challenge with shadow data. Here’s how IT ...

Effective data governance requires a mindset that treats data as an asset, which is just as important as a physical “sticks and bricks” asset with a life cycle. The drivers behind this change include ...

As artificial intelligence (AI) becomes more integrated into higher education, universities must adopt robust governance practices to ensure AI is used responsibly. AI can generate valuable insights ...