Explore the latest advancements in data-centric AI through this insightful conference talk by Alex Ratner, Co-founder and CEO of Snorkel AI and Assistant Professor of Computer Science at the University of Washington. Delve into the challenges of managing training data for real-world applications and discover how Snorkel AI leverages data-centric approaches to address these issues. Learn about the motivation behind data-centric AI, its role in AI development workflows, and the concept of foundational models. Gain valuable insights into operationalizing organizational knowledge and applying data management techniques to machine learning. The talk concludes with a Q&A session, offering an opportunity to deepen your understanding of this cutting-edge field.
Operationalizing Organizational Knowledge with Data-Centric AI
Overview
Syllabus
- Introduction & Outline
- Data-Centric AI: A Brief Motivation
- Data-Centric AI: Putting data at the center of the Ai development workflow AI
- What’s the bigger idea here?
- Brief recap: Foundational Models
- A Data-Centric Foundation Model Approach
- Q&A
Taught by
Open Data Science
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