A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

Complementary solutions automate discovery, governance, and enforcement of data sharing and transfer Together with ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

According to Boston Consulting Group, almost 80% of companies either use agentic AI or have plans to implement it soon, but ...

Data governance is a critical foundation for any organization that creates, manages, or uses data. Data must be managed in a way that is consistent with the organization’s data definition, data ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Data governance is necessary for compliance with current regulatory expectations for data integrity in pharmaceutical R&D and manufacturing organizations. A company should consider whether it has a ...