To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

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 ...

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 ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

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 ...

AI and data sovereignty are putting regional data centers at the heart of Europe’s AI evolution. Local data centers and ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

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 ...

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 ...

The addition of Okera’s data governance technology to the Databricks Lakehouse Platform will boost data protection and governance for AI and machine learning tasks. Data lakehouse platform developer ...

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 ...