Technical Talks

Madison Faulkner

Principal & Head of Data Science | NEA

The Future Of Data Engineering: From Unstructured To Structured In An Agentic Data Era

ABOUT THE TALK

Data Eng & Infrastructure

Next-Generation Data Engineering: AI Agents, Knowledge Graphs, and Real-Time Systems | Discover how AI agents and foundation models are revolutionizing data engineering through advanced real-time data architectures. Learn cutting-edge approaches to knowledge representation using semantic layers, vector embeddings, and graph-based 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. 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 architectural patterns.

Principal & Head of Data Science

Madison Faulkner

NEA

Madison is an investor at NEA focused on early-stage data, infrastructure, developer tools, data science, and AI/ML. She also leads the data and AI platform internally to leverage data & AI for investment and firm decision-making. Previously, she invested at Costanoa Ventures where she worked closely with Delphina.ai, Probabl.ai, Mindtrip.ai, Noteable.io (acq by Confluent), Rafay.co, and others. Prior to investing, Madison was Head of Data Science and Machine Learning at Thrasio, Head of Data Science at Greycroft, and held several data science positions at Facebook working on embeddings, knowledge graphs and deep learning infrastructure with FAIR. Madison received a BS in Management Science and Engineering from Stanford and grew up in Colorado performing in rodeos.

Technical Talks

The Future Of Data Engineering: From Unstructured To Structured In An Agentic Data Era

ABOUT THE TALK Data Eng & Infrastructure

ABOUT THE TALK

Data Eng & Infrastructure