Stuart Harvey explores why data, not AI itself, has become the real connective tissue of modern financial services ...

SAS has refreshed its Data Management portfolio, built on the SAS Viya platform, to address enterprise challenges in AI ...

As enterprises race to operationalize AI, many are finding progress constrained by fragmented data environments, manual data ...

Well, it’s a lot of factors i.e. it’s the fact that production-grade agentic AI services are still embryonic (or at least ...

Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

Discover why treating data as a product with governance and ownership is key to AI readiness and marketing success.

LinkedIn’s Raheel Gandhi has introduced a proactive data health framework aimed at detecting instability in enterprise pipelines before it impacts decision-making. The approach shifts focus from ...

Insurance doesn't only fail when risk materializes. It also fails when systems can't recover from their own decisions.

New tools promise centralized oversight of models, agents, and data as enterprises turn trust into a competitive advantage.

Modern AI-native Security Posture Management (SPM) platforms promise to compress MTTR from days to minutes—turning slow, ticket-driven patching cycles into near-real-time risk reduction. Below are the ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...