Modeling Data For LLM Consumption ~ ft. Ethan Ding CEO and Co-Founder of TextQL | Better Tech

In this episode of the BetterTech podcast titled "Dynamics of preparing & modeling data for LLM consumption", Peggy Tsai hosts Ethan Ding, CEO and Co-Founder of TextQL. They discuss the challenges and innovations in preparing and modeling data for large language models (LLMs) in various industries, including sports and healthcare. Ethan shares his personal journey and the founding story of TextQL, emphasizing the importance of data in today's technology-driven world. He explains the concept of "connective tissue" in data architecture and how it enhances the efficiency of LLMs in processing and interpreting complex data. The discussion also covers the significance of data quality, the impact of regulatory environments on AI deployment, and the future challenges and opportunities for TextQL in the evolving landscape of AI and data management. This episode provides valuable insights into the practical aspects of implementing AI and managing data at scale in a corporate setting. 00:00 - Intro: Insights into Operations 03:53 - Modern Data Stacks 07:28 - Data Analytics in Sports 11:02 - Essentials for Scaling Large Language Models 18:09 - Improving Data Quality for LLM Deployment 23:00 - Data Prioritization for LLM Success 30:03 - Future Challenges and Opportunities for TextQL Soundcloud: https://soundcloud.com/bettertech Instagram: https://www.instagram.com/bettertechpodcast/ Website: https://thebettertech.io/ Anchor: https://anchor.fm/bettertech​ #AI #DataScience #TechInnovation #TextQL #LargeLanguageModels #DataModeling #BusinessIntelligence #TechPodcast #DigitalTransformation #FutureOfTech #EnterpriseSolutions #TechLeadership #ArtificialIntelligence #MachineLearning #DataAnalytics #Innovation #TechTrends #BusinessStrategy #BigData #CloudComputing #DataInsights #Analytics #Entrepreneurship #StartupLife #TechCommunity