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

Overview: Enterprises are depending on AI-powered data governance software to ensure data quality, security, and compliance ...

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 ...

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

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 ...

David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...

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 ...

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

AI and data sovereignty won’t wait. The question regulators, auditors, and AI systems are asking is simple: Where is the data, and can you prove it?” — Tim Freestone, Chief Strategy Officer at ...