To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

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 ...

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 ...

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 ...

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

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

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

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

AI and data sovereignty are putting regional data centers at the heart of Europe’s AI evolution. Local data centers and ...

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 ...