As someone who spent my early career in healthcare analytics, I’ve seen firsthand that it’s not dashboards or models that slow us down, it’s disagreement about what the data means. Enterprises don’t ...
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 ...
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 ...
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 ...
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 ...
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 Is the concept outdated?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 ...
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.
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 ...
A semantic data foundation can help to standardize business logic to all AI agents to orchestrate and perform well.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback