The Future
of Data-Centric AI
Watch the complete virtual event on-demand 
The Future of Data-Centric AI brought together experts on data-centric AI from academia, research, and industry to explore the shift from a model-centric practice to a data-centric approach to building AI. Watch the complete on-demand event to learn more about the challenges, solutions, and ideas to make AI practical, both now and in the future.

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Watch on-demand to
Gain an in-depth understanding of the data-centric AI approach, also referred to as Software 2.0.

Learn about best practices from real-world implementations of the data-centric approach.

Deep dive into new research from academia, research, and industry.

Connect with those who are deeply involved in changing the AI landscape during live Q&A sessions.


Topics covered
• Interactive development of ML pipelines
• MLOps desiderata & design principles
• Auto-labeling
• Weak supervision
• Data cleaning and augmentation 
• Fine-grained error analysis
• Model monitoring
• Training data auditability
• Data-centric AI case studies
• And more
Speakers 
The world’s top experts on data-centric AI
Aarti Bagul

MACHINE LEARNING ENGINEER
SNORKEL AI

Alex Ratner

CEO AND CO-FOUNDER
SNORKEL AI

Andrew Ng

DEEPLEARNING.AI; FOUNDER AND CEO
LANDING AI

Anima Anandkumar

DIRECTOR OF ML RESEARCH
NVIDIA


Ce Zhang

ASSISTANT PROFESSOR
ETH ZURICH

Chelsea Finn

ASSISTANT PROFESSOR
STANFORD UNIVERSITY

Chris Ré

ASSOCIATE PROFESSOR
STANFORD AI LAB

Darío García-García

DIRECTOR OF ML RESEARCH
NETFLIX

Imen Grida Ben Yahia

AI EMPOWERED NETWORKS PROGRAM TECH LEAD
ORANGE

James Zou

ASSISTANT PROFESSOR
STANFORD UNIVERSITY

Justin Gottschlich

PRINCIPAL AI SCIENTIST & DIRECTOR/FOUNDER, MACHINE PROGRAMMING RESEARCH
INTEL

Michael DAndrea

Principal Data Scientist
GENENTECH


Roshni Malani

ENGINEERING LEADERSHIP
SNORKEL AI



Sharon Li

ASSISTANT PROFESSOR
UNIVERSITY OF WISCONSIN
MADISON

Skip McCormick

DATA SCIENCE FELLOW
BNY MELLON

Xu Chu

ASSISTANT PROFESSOR
GEORGIA INSTITUTE OF TECHNOLOGY
Schedule
Session start times are listed below
5:55 
The Future of Data-Centric AI
ALEX RATNER
CEO AND CO-FOUNDER, SNORKEL AI
36:05
Learning with Imperfect Labels and Visual Data
ANIMA ANANDKUMAR
DIRECTOR OF ML RESEARCH, NVIDIA
1:02:50
Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities
Sharon Li
Assistant Professor, University of Wisconsin - Madison
1:32:29 
The Role of Data-Centric AI in Oversight and Control
Dario García-GarcÍa 
Director of ML Research, Netflix


SKIP MCCORMICK
Data Science Fellow, BNY Mellon
1:58:56
Our Journey to Data-Centric AI
Chris Ré
Associate Professor, Stanford AI Lab
2:28:50
Machine Programming and the Future of Data-Driven Software Development
JUSTIN GOTTSCHLICH
PRINCIPAL AI SCIENTIST & DIRECTOR/FOUNDER, MACHINE PROGRAMMING RESEARCH, INTEL

3:03:48
Data-Centric Facets for Network Ops
Imen Grida Ben Yahia
AI EMPOWERED NETWORKS PROGRAM TECH LEAD, Orange

3:37:20
The Data-Centric AI Approach
Andrew ng
Founder, DeepLearning.AI; Founder and CEO, Landing AI
4:06:08
MLOps: Towards DevOps for Data-Centric AI
Ce Zhang
Assistant Professor, ETH Zurich
4:32:42
Panda: A Weakly Supervised Entity Matching System
Xu chu
Assistant Professor, Georgia Institute of Technology
5:06:46
Algorithms that Leverage Data from Other Tasks
Chelsea Finn
Assistant Professor, Stanford University

5:36:57
Augmenting the Clinical Trial Design Process Utilizing Unstructured Protocol Data
Michael DAndrea
PRINCIPAL DATA SCIENTIST, GENENTECH

6:08:30
Building AI Applications Collaboratively: A Case Study
Roshni Malani
ENGINEERING LEADERSHIP, SNORKEL AI

6:35:07
A Data-Centric Perspective on Interpretable and Trustworthy AI
James Zou
ASSISTANT PROFESSOR, STANFORD UNIVERSITY
7:04:26
Closing Remarks
ALEX RATNER
CEO AND CO-FOUNDER, SNORKEL AI
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