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 ...

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 ...

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.

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 ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.

Let’s not deny it; we’ve all been captivated by the elegant symmetry of Data Products. If you haven’t encountered them yet, you might be living under a rock. But don’t worry, before we delve into ...

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 ...

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 ...