Using a Semantic Layer and LLM to Automate Data

Ryan Janssen and Paul Blankley of Zenlytic discuss how a semantic layer paired with a large language-learning model can help you search through data and find what you're looking for much more quickly.

This clip was pulled from our Data Driven Podcast. You can find this full episode, as well as others on our channel under the AtScale Data Driven Podcast playlist.
___________________________
Follow us for more updates and news on social media!

Our Website:

LinkedIn:

Twitter:

Instagram:

Facebook:
_____________________________
About our guests:
Ryan is the CEO of Zenlytic, a business intelligence tool you can talk to. Zenlytic has raised two rounds of funding; investors include Bain Capital Ventures, Primary Ventures, and the Sequoia Scout Fund.

Paul is the Co-founder / CTO of Zenlytic, a self-serve BI tool that uses LLM's to provide a simple chat interface to complex business data. He's worked in data for 7+ years, managed dozens of data stacks, and is passionate about all things data and AI. He has a master's from Harvard in Data Science and he lives in Denver, CO, where he spends his free time snowboarding, running, and rock climbing.

About Us:
AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven enterprises.

#AtScale #datascience #DataDrivenPodcast #datamesh #selfservicedata