Right now, in most companies, there is a crisis of Business Intelligence dashboards. For good reasons, BI practitioners use the dashboard as way to deliver data and analytics to pretty much everyone.

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 ...

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 essence of this patent is to achieve semantic understanding of table fields and statement fields through large models, thereby constructing a semantic similarity matrix to enhance the accuracy of ...

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 ...

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 ...

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 ...

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 ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...