For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

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

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

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

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

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...

About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

When an exposure is exploited, the fallout spreads beyond the individual. Businesses, creators, investors, families, and even ...

As AI adoption accelerates across sectors, India's AI governance road map aims to balance innovation with safety, ...