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

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 ...

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 ...

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 ...

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

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 ...

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