In AI, yesterday’s breakthrough is today’s baseline, so AI agents that simply retrieve information are no longer enough. The real game-changer lies in creating AI agents that truly understand your ...

Iconiq is backing the $1.51 billion startup building a “semantic layer” that translates company data for AI agents and humans ...

Enterprises don't lack semantic logic — they have too much of it, scattered across too many places. Metric definitions exist ...

A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now This article was contributed by David ...

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is launching an “agentic analytics” platform that uses artificial intelligence to ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

Semantic layers have been around for a long time - but with underwhelming results. Is the concept outdated? No, but something it missing. In the big data era, we need to raise our data abstraction ...

Add Yahoo as a preferred source to see more of our stories on Google. A growing number of businesses are embracing data models -- abstract models that organize elements of data and standardize how ...