In data-rich organizations, capturing and maintaining critical data context is challenging. As data usage grows and models become more complex, finding the right dataset can be slow and create delays.
Select Star is a data discovery and metadata platform that continuously updates a knowledge graph by analyzing an organization’s data structure and usage. It enriches data with context, such as popularity and lineage, making it easier for AI and teams to find and trust the right data. These metadata layers improve the accuracy of SQL queries generated by large language models.
Shinji Kim, founder and CEO of Select Star, joins Sean Falconer to discuss metadata curation challenges, managing data context at scale, using LLMs for SQL generation, trends in metadata management, and more.
Full Disclosure: This episode is sponsored by Select Star.
Sean Falconer is an AI Entrepreneur in Residence at Confluent and has experience as an academic, startup founder, and Googler. He’s published works on AI and quantum computing and works on AI strategy and thought leadership. Connect with Sean on LinkedIn.
For the episode transcript, please click here.
Sponsorship inquiries: [email protected]