Understanding why traditional semantic layers fall short in the AI era requires looking at how AI interacts with enterprise data.

Semantic layers in the age of AI are becoming an important part of how organizations structure data, search, and decision-making. The topic centers on using semantic models and layered 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 ...

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 ...

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AI agents are reshaping enterprise analytics, and AtScale, a leader in semantic layer solutions, is helping organizations navigate this shift from "ask-a-question BI chatbots" to autonomous agents ...

Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Philadelphia-based dbt Labs announced today the next version of its open ...

AI is washing over organizations and their data environments, putting pressure on data managers to be able to pull data, almost instantaneously, to fuel AI agents and applications. To meet this need, ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. In my last article, we discussed how enterprise AI has pivoted from mere data retrieval to ...