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 ...

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 ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

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 ...

Data has transitioned from a secondary consideration to the backbone of business metamorphosis, tailored mainly by the opportunities engendered by artificial intelligence. In contradistinction, data ...

Many US companies still resist recognizing data governance and structured management as a value center, but the regulatory ...

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.

Snowflake’s Artin Avanes explains why governance should be built into a small business’s data foundation to achieve ...

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 ...