I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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.

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal government has opted to restrict state mandates and regulations governing the ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

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

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 ...

According to research firm Gartner, companies will be forced to do so due to the proliferation of unverified AI-generated data.

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 ...

Dr Gulzar Singh explains how the growing use of synthetic data and constructed decision environments in banking has quietly outpaced the governance frameworks designed to ensure accountability, ...