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

Navigating innovation, regulation, and sovereignty as enterprises build resilient AI-ready data architectures worldwide.

Open AI models have become a cornerstone of modern innovation. From startups building new products to enterprises optimizing operations, organizations ...

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 ...

Organizations are embedding AI into every facet of the business, but enterprises are constrained by traditional governance ...

Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

Health systems can’t AI their way out of bad data without solid governance, warns University of Chicago CISO Matt Morton.

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 ...