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 ...

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

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

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

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 ...

Organizations increasingly depend on accurate insights from their data to drive decisions, fuel innovation and maintain their ...

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 ...

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

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 ...

Data governance should be a top priority for every organization due to the risks and benefits directly linked to it. Poor data governance can lead to performance issues, lawsuits and fines. Even more ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...