Data can't generate valuable insights and improve decision-making without strong data governance. A data governance maturity model helps organizations evaluate current achievement levels and identify ...

Organizations that treat their data as an asset have a data governance framework that matches their style, structure and culture. Organizations of all sizes collect, store and process data from ...

In May 2025, the Committee of Sponsoring Organizations of the Treadway Commission (COSO), in collaboration with the National Association of Corporate Directors (NACD), released a public exposure draft ...

Governance transformation relies on technology and citizen engagement for efficient delivery. Digital identity and direct ...

The way organizations manage AI is changing. The shift is from simple models to agents that act on their own — sometimes for better, sometimes for worse. To handle this, good AI governance means an ...

Ed Gaudet is the CEO and Founder of Censinet, a healthcare risk management platform, and member of the Health Sector Coordinating Council. At the CHIME24 Fall Forum, I faciltated a focus group session ...

While most organizations understand the need for strong AI model governance, many are still struggling to close gaps that could slow adoption and increase risk. The findings of a new Anaconda survey ...

I'd like to take a step back and give a high-level view of what we're observing with our clients before answering the question, "What is AI model governance?" Financial institutions have data ...

This piece is part of a series benchmarking bank model risk management practices. Risk Management subscribers can view selected cuts of the underlying data here. Sign up for Risk Benchmarking emails ...

AI governance healthcare needs better oversight to apply proportional, continuous risk management across the AI lifecycle in clinical settings.