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

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

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

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

While AI is the hot buzzword right now, the message from major data and analytics vendors has been remarkably consistent.

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

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

Big models did not guarantee results in 2025. Now companies want AI that works under pressure and earns trust.