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 ...

By creating and maintaining a unified metadata repository, the data foundation provides centralized governance and control ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is ...

In Achieving Trusted Data: Data Quality, Data Governance and MDM Trends, one of DBTA's latest webinars, data management experts examined the current best practices and key solutions for modernizing ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

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 ...

The report reveals that, despite 60% of organizations stating AI is a key influence on data programs (a 46% increase from 2023), only 12% report that their data is of sufficient quality and ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...