Sensitive enterprise data is artificial intelligence's most valuable - and most vulnerable - input. As organizations feed ...

Published in AI & Society, the study titled “Data-centric AI governance for responsible organizational value: evidence from a ...

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI.

The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence continues to expand across enterprise environments, the governance of data and AI ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

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 ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...