The demand for data continues to grow from inside and outside every organization and from machines now, too. However, having a surfeit of data is not enough. Organizations must solve the complex ...

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) 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 ...

Many companies are adopting a data fabric architecture, but don't realize that the essence of a true data fabric leverages embedded AI with a Unified Semantic Layer for accurate enterprise context and ...

As a former teacher, I’ve seen firsthand that a student is only as good as the curriculum they are given. The same is true for AI. We often talk about AI models as if they're magical tools, but ...

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 ...

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 ...

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We believe the future of intelligent data apps will enable virtually all organizations to operate a platform that orchestrates an ecosystem similar to that of Amazon.com Inc. By this we mean ...

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.