The Future
of Data-Centric AI
September 28, 2021
Join us at The Future of Data-Centric AI, a free, one-day virtual summit.

This summit connects 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. We will discuss challenges, solutions, and ideas to make AI practical, both now and in the future.

Save your seat
LOCATION: Virtual - Join from anywhere on the globe!
DATE & TIME: September 28, 2021, 09:00 a.m. - 4:00 p.m. PDT
Join 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
Who should attend
Whether you are getting started with data-centric AI, an advanced practitioner, or curious about this novel idea, this event will help you deepen your knowledge on the topic. We are expecting 100s of leaders of data science, ML engineering and analytics teams, practitioners, visionaries, researchers, and students to join us at the event. RSVP today.
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
Connect live-- with experts on data-centric AI from academia, research, and industry.
Please note times are in Pacific Time (PT) and are subject to change.
The Principles of Data-Centric AI
Alex Ratner
CEO and Co-founder, Snorkel AI
MLOps: Towards DevOps for Data-Centric AI
Ce Zhang
Assistant Professor, ETH Zurich
Uncovering the Unknowns of Deep Neural Networks: Challenges and Opportunities
Sharon LI
Assistant Professor, University of Wisconsin - Madison
Learning Robust Representations Through Self Supervised Learning
Anima Anandkumar
DIRECTOR OF ML RESEARCH, NVIDIA
Coming Soon!
ChriS Re
Associate Professor, Stanford AI Lab
Data-Centric Facets for Network Ops
IMEN GRIDA BEN YAHIA
AI EMPOWERED NETWORKS PROGRAM TECH LEAD, ORANGE
Algorithms that Leverage Data from Other Tasks
Chelsea Finn
Assistant Professor, Stanford University
The Data-Centric AI Approach
Andrew Ng
Founder, DeepLearning.AI; Founder and CEO, Landing AI
Augmenting the Clinical Trial Design Process Utilizing Unstructured Protocol Data
Michael DAndrea
PRINCIPAL DATA SCIENTIST, GENENTECH 
Panel: Coming Soon!
Dario garcia garcia
Director of ML Research, Netflix
Machine Programming and the Future of Data-Driven Software Development
Justin Gottschlich
Principal AI Scientist & Director/Founder, Machine Programming Research, Intel
Panel: Coming Soon!
Skip McCormick
Data Science Fellow, BNY Mellon
Using Data Valuation to Improve Machine Learning
James zou
Assistant Professor, Stanford Univeristy
A Weakly Supervised Entity Matching System
XU CHU
ASSISTANT PROFESSOR, GEORGIA INSTITUTE OF TECHNOLOGY
Design Principles for Collaboratively Building AI Applications: A Case Study
Roshni Malani
ENGINEERING LEADERSHIP SNORKEL AI
Join us on September 28, 2021
#DataCentricAI

Processing Registration...