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

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.

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 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 ...

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 ...

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 ...

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