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 ...

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

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 ...

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 ...

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 ...

Solomon Islands faces challenges in fiscal data governance despite reforms. While the Public Financial Management Act (PFMA) of 2013 aimed to enhance transparency, inconsistent implementation and ...

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 ...

Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of ...