Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

By promoting data stewardship and ownership by domain experts, using a common set of tools and semantic definitions, your entire organization will be empowered to create data products at scale.

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 ...

Element Analytics Inc., maker of a semantic data platform for use in industrial settings, today announced the availability of its Unify data management platform on Microsoft Corp.’s Azure Digital ...

Data and data standards in semantic web To obtain a thorough comprehension of the semantic web technology, the same information provided in the earlier XML example (Fig. 1) has been described in ...

BOSTON, April 27, 2023 — AtScale, a leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...

Adopting a universal semantic layer carries many benefits in data accuracy and consistency—and in getting AI projects off the ground—but it requires change management.