Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

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

Operational Data Modeling Some of the most meaningful operational action derived from data governance stems from data modeling. The interchange of data between varying systems as part of a collective ...

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

More than a decade after the Basel Committee on Banking Supervision introduced its principles for effective risk data ...

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

Remco Munnik, Arcana, details pharma's shift to data-first operations, AI adoption, and robust data stewardship.

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

AI isn’t just expensive to run — it’s expensive to govern. And unless finance, risk and tech align, AI projects stall or fail ...

"Chief" has long been included in government job titles, particularly in IT. But as organizations have evolved, the lines ...

Operational risk is the silent compounding factor in alternative asset management. When it’s well managed, investors rarely ...