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 ...

Agentic AI systems promise to enhance human productivity by automating complex tasks through intelligent reasoning.

For data-driven companies, their biggest challenges live in those outer rings. Their data flows in from CRM platforms, IoT ...

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 ...

AI adoption has moved from the margins to the mainstream. Many organizations are piloting generative AI, exploring agentic systems and physical AI in robotics and automation, and extending investments ...

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 ...

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 ...

You should build responsible AI into every system from day one. These industry experts share proven ways to do it right.

New York - Credit Suisse is in the process of completing a data governance model aimed at improving reference data management, according to a speaker at the North American Financial Information Summit ...

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 ...

Relyance AI, the leading AI-native data security platform, today announced a limited-time free trial program for its AI ...