Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data ...

Agentic AI isn't just reshaping analytics and operational processes in organizations; it's also sharpening familiar data management challenges and introducing new ones. AI agents amplify traditional ...

ROUND ROCK, Texas, July 29, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware, today released findings from the Actian State of Data Governance Maturity 2025 research, revealing ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions. As 2025 approaches, managing ...

As electronic design becomes increasingly complex, traditional approaches to IP and design data management are reaching their limits. Fragmented systems, inconsistent documentation, and unclear ...

Companies planning to use vaccine credentials to reopen offices will face a new challenge that will require an all-teams-on-deck approach -- how to manage vaccination data. That's according to Heidi ...

Data collection and reporting processes focusing on sustainability are often driven by voluntary reporting or regulatory requirements, but sustainability data can be deployed to enhance market value ...

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.

When I was recently asked, on a panel about the future of artificial intelligence, to name the most exciting technology I’m working on, my answer — “data” — drew a sidelong glance from the moderator.

Police forensic labs face challenges managing diverse evidence data, maintaining chain of custody and integrating systems to avoid manual data entry and errors. Traditional documentation methods still ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...