State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

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

When artificial intelligence advanced from merely analysing data to creating it, digital governance changed fundamentally. Previously, managing ...

Boards and C-suites are adopting new governance practices to address energy constraints and operating and cyber risks to ...

Ellie MCP Server Transforms AI from a chatbot into a trusted modeling partner without compromising governance, control, ...

What is data governance and how does it benefit my organization? Your email has been sent Vendors as varied as Google Cloud and Oracle all hope to sell you data governance, but it turns out data ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. State government needs policies and procedures to ensure data is ...

How does data governance affect data security and privacy? Your email has been sent While it's important to implement processes and procedures that safeguard data security and privacy, you can also ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...