AI needs data. But that data is often sprawled across business units and functions, each with its own definitions and metrics. A semantic layer can unify conflicting data definitions by providing a ...

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 ...

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 ...

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 ...

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 ...

A growing number of businesses are embracing data models — abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...

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Snowflake and Salesforce initiated the Open Semantic Interchange project in collaboration with industry partners to solve the problem of the fragmentation of enterprise system data definitions. There ...

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 ...

DBT Labs unveiled a set of new and improved capabilities aimed at helping customers transform data to prepare it for analysis, including an updated version of its Semantic Layer, a new governance tool ...