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

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

Most enterprises assume their governance systems are built for modern risk. Policies are mature. Controls are defined. Programs are resourced. Yet beneath ...

Governance failure always shows up the same way: the gap between what leaders believe they are doing and what the data can ...

Data Governance at ESF facilitates cross-unit collaboration to improve institutional data infrastructure and to ensure data integrity, security, and accessibility by establishing a set of data ...

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

Despite technology advances in electronic health records (EHRs) and the establishment of interoperability requirements by regulatory bodies, siloed patient information remains an unsolved problem ...

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.

Health plans have been pouring resources into data analytics for years. They’ve mapped chronic disease trends, pored over prescription data, and chased cost-savings across every corner of the ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Continuous, passive authentication: Behavioral biometrics analyze typing, swiping and other actions in real time to verify identity without disrupting users. AI-driven adaptability: Machine learning ...