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

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

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

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.

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 ...

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

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 ...

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 ...

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 ...