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

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

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

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced it has been named a ...

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

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 ...

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

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

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 ...

Every retail initiative, whether it’s AI, personalization or supply-chain transparency, depends on trustworthy customer data.