Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...

Organizations increasingly depend on accurate insights from their data to drive decisions, fuel innovation and maintain their competitive edge. Yet, the ability to extract meaningful, high-quality ...

What is data governance and how does it benefit my organization? Your email has been sent Vendors as varied as Google Cloud and Oracle all hope to sell you data governance, but it turns out data ...

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

It’s a time when large datasets are being leveraged for real-time analysis. Tried-and-true approaches to cobbling together technologies and policies to achieve workable data governance and security ...

Anil Lokesh Gadi, a distinguished expert in the fields of advanced data engineering, data analytics, and data warehousing, has recently published a research paper providing valuable insights into ...

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 ...

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 ...