Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

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 ...

Metadata is increasingly driving semantic data modeling, said Suresh Nair, New York-based vice president and chief architect, financial services, at IT processing services company Mphasis, who was ...

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 ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition during ...

Every major data platform now ships a USL for enterprise AI, but standards are unsettled and most only work inside their own walls. How should CIOs avoid picking a winner too early? We’re finding out ...