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 ...

One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition during ...

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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A semantic data foundation can help to standardize business logic to all AI agents to orchestrate and perform well.

The era of Excel-based decision making has reached its breaking point. While spreadsheets served businesses well for decades, today's enterprise data complexity demands sophisticated infrastructure ...

In the rapidly evolving world of artificial intelligence, a new framework is enhancing the way we create and interact with chatbots and AI assistants. This innovative tool, known as the Semantic ...