Our CEO recently wrote reaffirming an architectural decision ThoughtSpot made when LLMs first emerged: we do not use LLMs to directly generate SQL.
My team has spent the better part of a year building AgentQL
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Our CEO recently wrote reaffirming an architectural decision ThoughtSpot made when LLMs first emerged: we do not use LLMs to directly generate SQL.
My team has spent the better part of a year building AgentQL
As the head of ThoughtSpot’s international business, based in London, I have the privilege of working with some of the most forward-thinking digital leaders across EMEA. But every now and then, a customer journey comes along that perfectly encapsulates why we do what we do.
At our recent
Your team already knows when a campaign starts to underperform, when spend spikes, or when web traffic shifts. What you don't have is the speed to turn that insight into action. Someone still has to investigate, decide what to do, pull in the right people, and coordinate the work. That takes time.
As a data-driven CMO, I've lived this every day. I can know the instant s...
The journey to AgentSpot didn't start with a traditional product roadmap or a speculative “what if” from our R&D labs. Instead, it was born out of a growing friction within our own walls and became a "frontier R&D project" fueled by engineers exploring the internal potential of generative AI.
When we first launched SpotGPT, our internal genAI application (simil...
Every data leader knows the BI waiting room. Someone in operations needs an answer, files a request, and waits a day, sometimes three. By the time the dashboard arrives, the moment that mattered has moved on.
That waiting room was the quiet subject of one of the sharpest sessions at the Agentic Analytics P...