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 Is the concept outdated?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 ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now This article was contributed by David ...
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.
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 ...
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 ...
Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...
Big data platform startup dbt Labs Inc. said today it’s reinvigorating its flagship dbt Cloud offering with new enhancements and capabilities that it says will enable every employee to participate in ...
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 ...
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