There are many data governance platforms and service providers out there, and most of them take a similar all-or-nothing approach to implementation. Using this method, even if a company reaches out in ...

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

This section provides step-by-step guidance for getting started with data governance – how to assess the current situation, establish goals, and create a roadmap tailored to the agency’s needs. There ...

How Can Non-Human Identities Bolster AI Governance Frameworks? What role do Non-Human Identities (NHIs) play in fortifying AI governance frameworks? With industries increasingly lean into artificial ...

2026 should mark the shift from “AI for AI’s sake” to smart application of AI and other technologies to deliver better business outcomes. Workflow serves as the governance engine that helps ...

The Igniting Data Insights (IDI) initiative is a multi-year, phased effort to build a robust data infrastructure and deliver strategic value through integrated data. UAB has launched an initial ...

In banking, data governance is about meeting both regulatory and internal requirements. Find out what's required of your data governance plans by reading this guide ...

It has been almost a decade since the majority of Balkan countries committed to open, transparent and user-oriented governments, declared through national strategies, development programmes and laws.

Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF. As of 2023, two-thirds of the 51 state DOTs had established some form of agency-level ...