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Integrating Serverless LLMs with Data Platforms for Natural Language Analytics
Tue, 22 April
Data teams often spend significant time writing complex SQL queries for extraction and analysis, while business users struggle to derive insights without technical expertise. Native LLM integration within modern data platforms offers powerful solutions to democratize data access and analysis. However, implementing these capabilities requires understanding serverless architectures and practical integration patterns.
This session demonstrates how to leverage platform-native LLM capabilities alongside open-source tools like Streamlit to enable natural language interactions for data querying and insight generation. Attendees will gain insights into implementation patterns and lessons learned from using integrated tools, helping teams move beyond basic SQL queries to automated insight discovery and analysis.
Key Takeaways
- Using platform-native serverless functions to enable LLM-powered SQL generation and data analysis.
- Implementing prompt engineering techniques for accurate SQL translation and analytical insights.
- Building interactive data applications with Streamlit, seamlessly connecting with platform LLMs.
Target Audience
This session is ideal for data engineers, AI developers, software architects, and business analysts who are seeking to integrate LLM-powered solutions for data querying and insights. It is also beneficial for product managers and enterprise decision-makers aiming to enable natural language-driven analytics across teams.
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About the speaker
Kamesh Sampath
Lead Developer Advocate, Snowflake
Kamesh is a veteran tech innovator, author, and Lead Developer Advocate at Snowflake, India, with over 20 years in the trenches and more than a decade of open source contributions. As an author and developer advocate, he’s on a mission to demystify data engineering, cloud architecture, and emerging AI technologies. His expertise spans data cloud platforms, serverless computing, and distributed systems.
Passionate about empowering developers to harness the power of cutting-edge tools and frameworks, Kamesh has been actively contributing to the open source landscape for more than 10 years. With a track record of crafting robust enterprise solutions across diverse industries and participating in community-driven projects, he brings battle-tested insights on everything from integrating AI into enterprise data ecosystems to building scalable cloud-native architectures.
Kamesh is always eager to collaborate, innovate, and push the boundaries of what’s possible in tech, bringing the power of AI to enterprise data challenges.
