AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

An executive guide to artificial intelligence, from machine learning and general AI to neural networks. Read now This is a summary of the thesis taken by scientist, best-selling author, and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

Interoperability today is about enabling intelligent collaboration between systems themselves and redefining how enterprises interact with their own digital ecosystems.

Database deployments, like hemlines, tend to go in waves of fashion. During certain periods, the move is towards consolidation - trying to bring every database within a company under a single unified ...

Traditionally, the job of gathering and integrating data for analytics fell on data warehouses. Data warehouses cleaned and aggregated the "operational exhaust" of business transactions. Data ...

AtScale is a data virtualization provider for analytics. What this means is that AtScale provides an abstraction layer that enables its users to access the underlying data stores it supports in a ...

No-Headquarters/BOZEMAN, Mont., September 23, 2025--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company in partnership with leading industry partners and ecosystem vendors, including ...

A little semantics may go a long way, and much of the progress to and impact of Knowledge Graphs are based on this. Metadata and data governance can directly benefit, which is important for regulatory ...

Altair, a global leader in computational intelligence, is announcing its acquisition of Cambridge Semantics, a modern data fabric provider and creator of one of the industry’s leading analytical graph ...