2026 Talks
LLM’s & Semantic Layer: Self-serve has Entered the Chat
- Data Sci & Algos
Self-serve analytics has always been the promised land for data teams. A fantastic ideal but not something actually achievable. The combination of LLM’s and the semantic layer completely changes that. LLM’s and Semantic Layer combine high level intelligence with context of the business that allows deep and accurate question answering. Together, they unlock truly self-serve analytics.
Co-founder & CTO
Paul Blankley
Zenlytic
Paul is the Co-founder / CTO of Zenlytic, an analytics agent platform that uses LLMs to provide an easy interface to complex business data.
Paul founded Zenlytic after working as a consultant setting up analytical systems for companies from startups to the Fortune 500. While consulting, Paul experienced the impact of legacy data tools on a business’s ability to make important decisions and saw a huge opportunity to re-architect last-mile analytics for the AI era. He has worked in data for over 9 years and is passionate about all things data and AI.
Paul has a master's degree from Harvard in Computational Data Science, where he also worked with the Minor Planet Center on algorithms to detect if previously untraceable asteroids were going to hit the Earth. He lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing.
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