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 ...

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 ...

The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

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

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...

You might have heard of Microsoft's newest services for businesses -- Copilot. At the time of writing it's popping up everywhere in different Microsoft applications. This isn't going to be an article ...

Data privacy has evolved in step with the expanding role of data in modern business. Earlier, it was addressed mainly through technical reviews and legal documentation, which suited the priorities of ...

Data governance might be necessary - but it's anything but easy, and it's never complete. A recent post grossly oversimplified the solution - time for a rebuttal. There is a limit to how much nonsense ...