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 ...

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 ...

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 ...

The folks at dbt Labs think the data transformation tool is the proper place to implement and manage a semantic data layer, as opposed to the BI tool or the data warehouse, where it has traditionally ...

With the ongoing rapid increase in both volume and diversity of 'omic' data (genomics, transcriptomics, proteomics, and others), the development and adoption of data standards is of paramount ...

The latest upgrade to Aloudata Agent's intelligent attribution analysis capability does not just tell you 'what happened,' but is more focused on revealing 'why it happened'—and it does so in a ...

Proceedings: Mathematical, Physical and Engineering Sciences, Vol. 476, No. 2243 (November 2020), pp. 1-26 (26 pages) Semantic edge detection has recently gained a lot of attention as an ...

The essence of this patent lies in the deep analysis of retrieval text through a semantic large model, which identifies semantic cues of affirmation and negation within the text. Subsequently, the ...