In AI, yesterday’s breakthrough is today’s baseline, so AI agents that simply retrieve information are no longer enough. The real game-changer lies in creating AI agents that truly understand your ...
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 ...
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.
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 ...
Sajal Rastogi from Kyvos Insights explains why he thinks the use of GenAI and semantic layers is a gamechanger for democratising data. Business intelligence (BI) has long held out the promise of a ...
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 ...
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