AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic ...

The accelerated advancements and adoption of Artificial Intelligence (AI) and Large Language Models (LLMs) are reshaping ...

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high ...

Data governance frameworks are structured approaches ... The frameworks are built on four key pillars that ensure the effective management and use of data across an organization.

Data is now a living organism driving company success. To thrive, businesses must embrace AI-powered, automated data management across five critical pillars. In today’s economy, as the saying ...

But with great power comes great responsibility. As data continues to grow exponentially, the need for robust governance frameworks has become more critical than ever. To shed light on the future ...

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

He says that data resilience should be modern organizations’ vital priority. In an exclusive conversation with BizTech Managing Editor Bob Keaveney, Eswaran explored the “five pillars” of data ...

There should be five pillars of AI regulations in India ... This pillar advocates for data governance models that align with the objectives of the Digital Personal Data Protection Act and extend ...