Technical Talks



The Future Of Data Engineering: From Unstructured To Structured for Agent Systems
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ABOUT THE TALK
- Data Eng & Infrastructure
Next-Generation Data Engineering: AI Agents, Knowledge Graphs, Memory, and Real-Time Systems | Discover how AI agents and foundation models are revolutionizing data engineering through advanced real-time data processing. Learn cutting-edge approaches to agent memory and knowledge representation using semantic layers, vector embeddings, and graph RAG (Retrieval Augmented Generation) systems that power modern AI applications. This expert session explores the evolution from traditional data modeling to dynamic knowledge graphs, with implementation strategies for building responsive, context-aware data platforms and agent memory. Industry leaders share practical insights on adopting these technologies and advancing your career in AI-driven data engineering, including real-world case studies and emerging best practices.

Principal & Head of Data Science
Madison Faulkner
NEA
Madison is an investor at NEA focused on data, infrastructure, developer tools, and AI/agents and leads the internal data science team to build multi-agent systems for investment decisions. She has invested in and works with companies including Delphina, World Labs, Ceramic, Metabase, Twelve Labs, Foresight Data, and Weaviate. Prior to investing, Madison led data science & AI at Thrasio, data science at Greycroft, and a data science team at Meta working on AI infrastructure with FAIR. Madison studied engineering at Stanford and grew up in Colorado performing in rodeos.

Founder& CEO
Diptanu Gon Choudhury
Tensorlake
Diptanu Gon Choudhury is the Founder and CEO of Tensorlake, a serverless compute engine for processing multi-modal unstructured data for Generative AI Applications. Before Tensorlake, Diptanu founded the container cluster scheduler at Netflix, in 2013, that runs most of Netflix's microservices on AWS, was the creator of the Nomad cluster scheduler at Hashicorp, tech lead of Facebook's Machine Learning platform FBLearner in 2017, tech lead of the real time speech inference engine called Shortwave at Facebook, and published state of art research on multilingual speech models in applied research roles.

Co-Founder & CEO
Gleb Mezhanskiy
Datafold
Gleb Mezhanskiy is the CEO and co-founder of Datafold, a company revolutionizing data quality and migrations with AI-powered automation. A seasoned data leader, he previously built and scaled data platforms as a founding data engineer and PM at Lyft and Autodesk. Passionate about making data engineering more efficient, Gleb specializes in data quality, observability, and automation. Through Datafold, he’s helping teams streamline migrations and ensure data integrity at scale.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!