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 ...

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 ...

Cross-border data flow has become the fundamental vehicle for globalization of the digital economy and a core area of ...

Accelerating this need is the move from the traditional supply and sales channel to business processes that extend beyond enterprise boundaries toward so-called “supply chain constellations.” Instead ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

One DOT contracted for collection of video and LiDAR data for the state highway system, with extracted information on asset types and locations. Following contract execution and initiation of 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 ...

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

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 ...