If Text is the Universal Interface, then Text to SQL is perhaps the killer B2B business usecase for Generative AI. You may have seen incredible demos from Perplexity AI, OSS Insights, and CensusGPT where the barrier of learning SQL and schemas goes away and you can intuitively converse with your data in natural language.
But in the multi-billion dollar data engineering industry, Seek.ai has emerged as the forerunner in building a conversational engine and knowledge base that truly democratizes data insights.
We’re proud to present our first remote interview with Sarah Nagy to learn how AI can help you “seek what matters”!
Timestamps
00:00: Intro to Sarah
03:40: Seek.ai origin
05:45: Data driven vs Data backfit
09:15: How Enterprises adopt AI
12:55: Patents and IP Law
14:05: The Semantic Layer
16:35: Interfaces - Dashboards vs Chat?
21:05: LLM performance and selection
26:05: LLMOps and LangChain
30:55: Lightning round
Show notes
Lightning Rounds
Favorite AI Product: Stable Diffusion
Favorite AI Community: Eleuther
One year prediction: Things will move fast!
Request for Startup: Scheduling/Emails (shoutout Ipso.ai from our hackathon!)
Takeaway: Automate everything!
From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai