Semantic layers have been around for a long time - but with underwhelming results. Is the concept outdated? No, but something it missing. In the big data era, we need to raise our data abstraction ...

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 ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Cindi Howson at ThoughtSpot proposes an antidote to AI hallucinations Many organisations want Generative AI (GenAI) for its ability to transform industries and automate repetitive enterprise tasks.

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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 ...

Generative AI (GenAI) is posed to be an utterly transformative technology that evolves the way business—and undoubtedly, the world—interacts with information. In a proprietary context, rapid access to ...

During the chip shortage, Tesla thrived while Ford waited. The difference? Semantic intelligence that transformed data into ...