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# TransformX 2022

TransformX Conference: Operationalizing AI at Scale

Join Scale AI as we bring together over 120 of the world's brightest AI leaders, visionaries, practitioners, and researchers across industries to explore operationalizing AI and Machine Learning.

This year's conference will bring together 30,000 AI leaders and practitioners and feature three days of in-person and virtual keynote presentations, fireside chats, expert panel discussions, and hands-on workshops.

Speakers
Alexandr Wang
Alexandr Wang
CEO & Founder @ Scale AI
Eric Schmidt
Eric Schmidt
Co-Founder, Schmidt Futures; Former CEO & Chairman, Google @ Schmidt Futures
Mike Schroepfer
Mike Schroepfer
Senior Fellow & Former CTO @ Meta
Thomas Kurian
Thomas Kurian
CEO @ Google Cloud
Daphne Koller
Daphne Koller
CEO & Founder @ insitro
Greg Brockman
Greg Brockman
President, Chairman, and Founder @ OpenAI
Jeff Wilke
Jeff Wilke
Chairman and co-founder @ Re:Build Manufacturing and Retired CEO @ Amazon's Worldwide Consumer
Laura Major
Laura Major
CTO @ Motional
Koray Kavukcuoglu
Koray Kavukcuoglu
Vice President of Research and Technology @ DeepMind
François Chollet
François Chollet
Author of Keras @ Google
Nat Friedman
Nat Friedman
Former CEO @ GitHub
James Manyika
James Manyika
Senior Vice President for Technology & Society @ Google
Lila Tretikov
Lila Tretikov
Corporate Vice President/Deputy Chief Technology Officer @ Microsoft
Pieter Abbeel
Pieter Abbeel
Director of the Berkeley Robot Learning Lab and Co-Director of the Berkeley Artificial Intelligence (BAIR) Lab @ UC Berkeley and Covariant
Emad Mostaque
Emad Mostaque
Founder & CEO @ Stability AI
Bradley Horowitz
Bradley Horowitz
Vice President & Advisor @ Google
Neda Cvijetic
Neda Cvijetic
Senior Vice President – Head of Artificial Intelligence and Autonomous Driving (AD) @ Stellantis
Dr. Craig Martell
Dr. Craig Martell
DoD Chief Digital and AI Officer @ Chief Digital and Artificial Intelligence Office (CDAO)
John List
John List
Kenneth C. Griffin Distinguished Service Professor in Economics @ University of Chicago
Admiral William H. McRaven
Admiral William H. McRaven
Senior Advisor @ Lazard Financial Advisory
Dr. Lynne Parker
Dr. Lynne Parker
Associate Vice Chancellor; Director of the AI Tennessee Initiative @ University of Tennessee Knoxville
Sir Jeremy Fleming
Sir Jeremy Fleming
Director @ GCHQ
Michael I. Jordan
Michael I. Jordan
Pehong Chen Distinguished Professor in the EECS Department and the Department of Statistics @ University of California, Berkeley
Tim Ellis
Tim Ellis
Co-Founder and Chief Executive Officer @ Relativity Space
Dr. Kenneth E. Washington
Dr. Kenneth E. Washington
VP Software Engineering, Consumer Robotics @ Amazon
Mike Fisher
Mike Fisher
CTO @ Etsy
Daniele Perito
Daniele Perito
Co-founder and Chief Data Officer @ Faire
Ian Bremmer
Ian Bremmer
President and Founder @ Eurasia Group
Anima Anandkumar
Anima Anandkumar
Director of ML Research @ NVIDIA
Brandon Moak
Brandon Moak
Co-founder & Chief Technology Officer @ Embark Trucks
Boris Sofman
Boris Sofman
Head of Engineering for Trucking @ Waymo Via
Richard Socher
Richard Socher
CEO @ you.com
Aidan Gomez
Aidan Gomez
Cofounder & CEO @ Cohere
Dragomir Anguelov
Dragomir Anguelov
Distinguished Scientist and Head of Research @ Waymo
Curtis Huang
Curtis Huang
Head of Content Understanding @ Snap
Glenn Hofmann
Glenn Hofmann
Chief Analytics Officer | Data Science & Artificial Intelligence Expertise | Large Teams Leadership @ New York Life Insurance Company
John Hinshaw
John Hinshaw
Group Chief Operating Officer @ HSBC
Jason Matheny
Jason Matheny
President and Chief Executive Officer @ RAND Corporation
Dr. Will Roper
Dr. Will Roper
Distinguished Professor @ Georgia Tech
Dr. Jane Pinelis
Dr. Jane Pinelis
Chief AI Engineer @ The Johns Hopkins University Applied Physics Laboratory
Michael Kratsios
Michael Kratsios
Managing Director, 4th CTO, United States @ Scale AI
John Dulin
John Dulin
CEO and Co-Founder @ Modern Intelligence
Stephanie Halcrow
Stephanie Halcrow
Senior Fellow; President, The Halcrow Group @ George Mason University’s Center for Government Contracting
Dan Patt
Dan Patt
Senior Fellow, Center for Defense Concepts and Technology; Executive Partner, THL Partners @ Hudson Institut
Emily Harding
Emily Harding
Deputy Director and Senior Fellow, International Security Program @ CSIS
Alex Kendall
Alex Kendall
CEO @ Wayve
Jordan Fisher
Jordan Fisher
CEO and Founder @ Standard AI
Lee Hudson
Lee Hudson
Defense Reporter @ POLITICO
Nadia Fawaz
Nadia Fawaz
Senior Staff Applied Research Scientist & Tech Lead Inclusive AI @ Pinterest
Nathan Silberman
Nathan Silberman
Formerly, VP of AI at PathAI, Butterfly @ ML Executive
Navrina Singh
Navrina Singh
Founder and CEO @ Credo AI
Nick Beighton
Nick Beighton
Former CEO @ ASOS
Shiva Rajaraman
Shiva Rajaraman
VP Product @ OpenSea
Sriram Raghavan
Sriram Raghavan
Vice President @ IBM Research AI
Vilas Dhar
Vilas Dhar
President and Trustee @ Patrick J. McGovern Foundation
Alan Cowen
Alan Cowen
Chief Scientist and CEO @ Hume AI
John Maeda
John Maeda
CTO @ Everbridge
Rong Yan
Rong Yan
CTO @ Verishop
Saad Ahmed
Saad Ahmed
Managing Director - Merchants & Commercial @ Grab
Tony Jebara
Tony Jebara
Head of Machine Learning and VP of Engineering at Spotify @ Spotify
Dileep Thazhmon
Dileep Thazhmon
Founder & CEO @ Jeeves
Henrique Dubugras
Henrique Dubugras
Co-Founder & Co-CEO @ Brex
Miriam Cha
Miriam Cha
Research Scientist, Artificial Intelligence Technology Group @ MIT Lincoln Library
Ariana Eisenstein
Ariana Eisenstein
CTO @ Pickle Robot
Jack Guo
Jack Guo
Head of Autonomy Platform @ Nuro
Mostafa Rohaninejad
Mostafa Rohaninejad
Founding Research Scientist @ Covariant
Eric Rachlin
Eric Rachlin
Former Cofounder & CTO @ Body Labs
Natalya Tatarchuk
Natalya Tatarchuk
Distinguished Technical Fellow and Chief Architect, VP, Professional Artistry & Graphics Innovation @ Unity
Paul Lekas
Paul Lekas
Senior Vice President, Global Public Policy @ SIIA
Bryan Catanzaro
Bryan Catanzaro
Vice President, Applied Deep Learning Research @ NVIDIA
Oleksandr Paraska
Oleksandr Paraska
CTO @ Togal.ai, Admissions @ Tribe AI
Marco Pavone
Marco Pavone
Director, Autonomous Vehicle Research, Associate Professor at Stanford University @ NVIDIA
Tom Vu
Tom Vu
Senior Director and Head of Data Science and Machine Learning @ Flexport
Faisal Siddiqi
Faisal Siddiqi
Director Machine Learning Platform @ Netflix
David Ha
David Ha
Research Scientist @ Google Brain
Kate Park
Kate Park
Staff AI Product Manager @ Tesla
Dan Shiebler
Dan Shiebler
Head of Machine Learning @ Abnormal Security
Varun Mohan
Varun Mohan
CEO and Co-Founder @ Exafunction
Susan Zhang
Susan Zhang
Research Engineer @ Meta AI
Arvind Neelakantan
Arvind Neelakantan
Research Lead & Manager @ OpenAI
Louis Tremblay
Louis Tremblay
AI/ML Engineering Leader @ Resideo
Vijay Karunamurthy
Vijay Karunamurthy
Field CTO @ Scale AI
Mark Valentine
Mark Valentine
Head of Federal @ Scale AI and Formerly, General Manager, National Security @ Microsoft
Jon Wilfong
Jon Wilfong
SVP of Sales & Field Operations @ Scale AI
Russell Kaplan
Russell Kaplan
Director of Engineering @ Scale AI
Elliot Branson
Elliot Branson
Director of Machine Learning and Engineering @ Scale AI
Vivek Muppalla
Vivek Muppalla
Director of Synthetic Systems @ Scale AI
Julia de Boinville
Julia de Boinville
Head of UK @ Scale AI
Yuting Duan
Yuting Duan
Head of Content Understanding @ Scale AI
Aatish Nayak
Aatish Nayak
Head of Catalog @ Scale AI
Melisa Tokmak
Melisa Tokmak
GM, Document AI @ Scale AI
Mohammed Husain
Mohammed Husain
Solutions Engineer @ Scale AI
Dean Shu
Dean Shu
Head of Scale Studio @ Scale AI
Nick Semansky
Nick Semansky
Product Manager @ Scale AI
Lauren Oh
Lauren Oh
Product Manager @ Scale AI
Jason Liang
Jason Liang
Product Manager @ Scale AI
Shah Xia
Shah Xia
Head of Rapid @ Scale AI
Tim Lu
Tim Lu
Product Manager @ Scale AI
Bihan Jiang
Bihan Jiang
Product Manager @ Scale AI
Ben Levin
Ben Levin
Lead Product Manager @ Scale AI
Mahesh Murag
Mahesh Murag
Product Manager @ Scale AI
Jessica Zhu
Jessica Zhu
Software Engineer @ Scale AI
AJ Ostrow
AJ Ostrow
Software Engineer @ Scale AI
Osvald Nitski
Osvald Nitski
Strategic Product Manager @ Scale AI
Austin Russell
Austin Russell
Founder & CEO @ Luminar
Gerrit De Vynck
Gerrit De Vynck
Tech Reporter @ The Washington Post
Vivek Muppalla
Vivek Muppalla
Director of Engineering @ Scale AI
Erhan Bas
Erhan Bas
Machine Learning Engineer @ Scale AI
Agenda
Day 1 - Virtual and In-PersonDay 2 - VirtualDay 3 - Virtual
Track View
3:00 PM, GMT
-
4:00 PM, GMT
Stage 1
1:1 networking
Networking

Use this time to make yourself familiar with the platform and network.

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4:00 PM, GMT
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4:30 PM, GMT
Stage 1
Opening / Closing
Opening Remarks with Alexandr Wang, CEO & Founder of Scale AI
Alexandr Wang
4:30 PM, GMT
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5:15 PM, GMT
Stage 1
Fireside Chat
The Future of Foundation, Large Language, and Generative Models

Greg Brockman, President and Co-Founder of OpenAI, will join Alexandr Wang, CEO and Founder of Scale, to discuss the role of foundation models like GPT-3 and DALL·E 2 in research and in the enterprise. Foundation models make it possible to replace task-specific models with those that are generalized in nature and can be used for different tasks with minimal fine-tuning.

In January 2021, OpenAI introduced DALL·E, a text-to-image generation program. One year later, it introduced DALL·E 2, which generates more realistic, accurate, lower-latency images with four times greater resolution than its predecessor. At the same time, it released InstructGPT, a large language model (LLM) explicitly designed to follow instructions. InstructGPT makes it practical to leverage the OpenAI API to revise existing content, such as rewriting a paragraph of text or refactoring code.

Before creating OpenAI, Brockman was the CTO of Stripe, which he helped build from four to 250 employees. Watch this talk to learn how foundation models can help businesses benefit from applications that they can create more quickly than with past generations of AI tools.

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Greg Brockman
Alexandr Wang
5:15 PM, GMT
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5:45 PM, GMT
Stage 1
Fireside Chat
The State of AI Adoption with Thomas Kurian, CEO of Google Cloud

Thomas Kurian, the CEO of Google Cloud, will join Alexandr Wang, CEO and Founder of Scale, to discuss how AI helps businesses across various industries and use cases. Google Cloud is well-known for developer adoption, helping machine learning teams to create production-grade machine learning models. With platforms like Vertex AI and TensorFlow, Google boasts the most popular machine learning platforms adopted by over 3 million developers globally. Google also has succeeded with the widespread adoption of machine learning capabilities in its consumer and business products, including Gmail smart replies and predictive search.

Kurian will advise how to best roll out machine learning capabilities to many customers and ensure they are widely adopted. He will also discuss that, with the advent of foundation models, now is the time for all industries to more broadly adopt AI or risk falling behind the competition. He will detail practical use cases for retail, logistics, manufacturing, and healthcare. Kurian and Wang will also discuss the future of machine learning and what it will take to get there.

Before Google, Kurian spent 22 years at Oracle; his nearly 30 years of experience have given him a deep knowledge of engineering, enterprise relationships, and leadership of large organizations. Throughout his career, he has demonstrated a unique capability to align the latest technological developments, including machine learning, with real business problems to provide practical solutions to customers.

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Thomas Kurian
Alexandr Wang
5:45 PM, GMT
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6:15 PM, GMT
Stage 1
Keynote
Applying AI to Redefine Every Industry

Leading organizations across every industry also need to be technology leaders, and today that means leveraging AI. Organizations applying AI don't necessarily have AI expertise, but they are prepared to leverage AI as a strategic asset for their innovation and product strategies. Many of these companies are looking for established use cases to supercharge their products, operations, and business lines. This is where pre-trained models create an opportunity for organizations without the resources and expertise build their own AI.

Alexandr Wang, Scale’s CEO and Co-Founder, will outline how Scale’s product investments are helping all types of organizations and teams apply and create their own AI.

Wang will also share how the latest advancements in AI allow next-generation models to be more versatile and attuned to specific business needs that weren’t possible before. He will explain why foundation models are the most exciting advancement happening in AI, and how Scale can help advance foundation models, especially as it applies to tuning these models to make them useful for specific tasks and industries including insurance, defense, logistics and many others.

Wang founded Scale while a 19-year-old student to help companies build long-term AI strategies with the right data and infrastructure. Under his leadership, Scale has grown to be valued as a $7 billion company serving hundreds of customers across industries from finance to e-commerce to U.S. government agencies.

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Alexandr Wang
6:15 PM, GMT
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6:45 PM, GMT
Stage 1
Fireside Chat
Ushering the Next Generation of Transportation

Austin Russell, CEO and Founder of Luminar, will join Alexandr Wang, CEO and Founder of Scale for a fireside chat. The two will discuss the parallel missions of their respective companies with the purpose of training better models on high-quality, labeled data collected from the best 3D sensors available for autonomous systems.

Wang will ask Russell about his journey from Stanford dropout to his company’s 2020 NASDAQ IPO, product development, and how he thinks about building the machine learning infrastructure to train better models on 3D point cloud data. Russell will explain why he believes high-quality 3D sensors are essential for safe autonomy, and why simple 2D imagery doesn’t suffice.

Russell was a 2013 Thiel Fellow, which allowed him to drop out of his undergraduate studies and focus on Luminar full-time. He also became the world’s youngest billionaire as a result of his company’s IPO.

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Austin Russell
Alexandr Wang
6:45 PM, GMT
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7:45 PM, GMT
Stage 1
1:1 networking
Morning Networking Break
7:45 PM, GMT
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8:15 PM, GMT
Stage 1
Keynote
Transforming Drug Discovery Using Digital Biology

Modern medicine has provided effective tools to treat some of humanity’s most significant and burdensome diseases. At the same time, it is becoming consistently more challenging and more expensive to develop new therapeutics. The drug development process involves multiple steps, each of which requires a complex and protracted experiment that often fails. Insitro CEO and Founder Daphne Koller believes that, for many of these phases, machine learning models can help predict the outcome of the experiments and that those models, while inevitably imperfect, can outperform predictions based on traditional heuristics.

In this keynote, Koller will discuss how Insitro is bringing together high-quality data from human cohorts, while also developing cutting-edge methods in high-throughput biology and chemistry that can produce massive amounts of in vitro data relevant to human disease and therapeutic interventions.

Koller will also cover how the data are then used to train machine learning models that make predictions about novel targets, coherent patient segments, and the clinical effect of molecules. Insitro’s ultimate goal is to develop a new approach to drug development that uses high-quality data and ML models to design novel, safe, and effective therapies that help more people faster, and at a lower cost.

Koller also co-founded Engageli and has served as the co-CEO and President of Coursera. She received the MacArthur Foundation Fellowship in 2004 and the ACM Prize in Computing in 2008, and was elected a fellow of the American Association for Artificial Intelligence in 2004, in addition to receiving many other honors and awards.

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Daphne Koller
8:15 PM, GMT
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9:00 PM, GMT
Stage 1
Fireside Chat
Navigating an AI-Enabled Future with Eric Schmidt

Thanks to Dall-E, Stable Diffusion, Alexa, Siri, Google Assistant, and plenty of others, AI technologies are now more visible to the public than ever. But even though there have been numerous AI advancements and AI-infused products over the past decade, many organizations are still looking to understand how AI fits into their path to innovation. Eric Schmidt is an accomplished technologist, entrepreneur, and philanthropist and is well known for leading Google in its early days, from 2001 to 2011, and helping it to scale its infrastructure, diversify its product offerings, and maintain a strong culture of innovation. Today, he runs Schmidt Futures—a philanthropic venture—and advises governments and societies around the world on how to build a brighter future through technology.

Gerrit De Vynck, AI and algorithms reporter for The Washington Post, will moderate a fireside chat between Schmidt and Scale Founder and CEO Alexandr Wang, where they will talk about today’s advances in AI compared to 10 years ago. Schmidt and Wang will share their thoughts on what the next generation of AI companies will look like, what the proliferation of AI technology will mean for big tech, startups, and government, and how to push AI forward responsibly.

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Eric Schmidt
Alexandr Wang
Gerrit De Vynck
9:00 PM, GMT
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9:30 PM, GMT
Stage 1
Fireside Chat
Building AI-Native Products and What’s Next For AI

AI researchers have given the world a revolutionary new platform in the form of large models trained on internet data. And the game has changed dramatically with the recent release of advanced open source models.

Some people think that the model is the product. It is not. It is an enabling technology that allows new products to be built. The breakthrough products will be AI-native, built on these models from day one, by entrepreneurs who understand both what the models can do, and what people actually want to use.

While many AI technologies are still in their infancy, several are starting to emerge as practical for real-world applications. Many new AI-native products have grown explosively, reaching millions of users and creating huge businesses practically overnight. This is just the beginning.

Nat Friedman was the CEO of GitHub from 2018 to 2022, led Microsoft’s $7.5 billion acquisition of GitHub, and founded two startups. Friedman is joined by Alexandr Wang, Founder and CEO of Scale, to explore this new AI-native future and what it will take to succeed.

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Nat Friedman
Alexandr Wang
9:30 PM, GMT
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10:00 PM, GMT
Stage 1
Fireside Chat
Accelerating the Pace of AI for National Security

Dr. Craig Martell recently transitioned from an industry job as Head of Machine Learning at Lyft to becoming the new Chief Digital and AI Officer at the U.S Chief Digital and Artificial Intelligence Office (CDAO). Drawn by the mission, Dr. Martell brings a wealth of AI and business experience that he hopes will help increase the pace of technology adoption.

Dr. Martell will join Alexandr Wang, CEO and Founder of Scale, to discuss his charter to help the DoD increase its speed and agility for developing and fielding advances in AI, data analytics, and machine-learning technology. Dr. Martell will discuss how he plans to align incentives to take advantage of existing private-sector technology while streamlining procurement processes.

He will cover how his team will organize the immense quantities of data the department processes to make it more AI-ready to improve the department's capabilities overall.

Dr. Martell will also identify the advanced AI capabilities he plans to implement across the CDAO and how some of the latest advancements in large models factor into his plans. Finally, he will describe how his group communicates complex technical topics to non-technical leaders in the government and how the industry can best support the government with AI initiatives.

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Dr. Craig Martell
Alexandr Wang
10:00 PM, GMT
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10:30 PM, GMT
Stage 1
Fireside Chat
Redefining and Empowering Humanity in the Age of AI

Deputy CTO of Microsoft and former CEO of Wikipedia, Lila Tretikov, joins John Maeda, CTO of Everbridge, to discuss how AI impacts humanity and how to best leverage this technology to grow. They will discuss the evolution of art and artists' role in the age of AI. Lila will discuss how Large Language Models (LLMs) are redefining how we interact with machines today and how advances in this technology will enable non-developers to build applications and immersive experiences with simply a prompt. Lila and John will explore AR/VR/XR, practical applications for headsets like Microsoft's hololens, and how this technology will evolve in the future. Lila and John also draw on their vast experience to outline the most impactful business applications of machine learning technology today.

They also discuss how AI mirrors humanity and the importance of being intentional about what data we use to train our models to enhance ourselves best. We think of AI as learning from us. But in its growing capacity to extend beyond any person's memory, computing, or even historical lifetime, it enables us to explore the sum of all human knowledge and to further simulate the possibilities of our future.

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Lila Tretikov
John Maeda
10:30 PM, GMT
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11:15 PM, GMT
Stage 1
1:1 networking
Afternoon Networking Break
11:15 PM, GMT
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11:45 PM, GMT
Stage 1
Fireside Chat
Designing Customer-Centric Autonomy at Million-Vehicle Scale

Neda Cvijetic, Senior Vice President of Autonomous Driving at Stellantis, will join Russell Kaplan, Scale’s Director of Engineering, for a fireside chat. The two will discuss the role of data diversity in building safer autonomy, and Cvijetic will share highlights from her career building autonomous vehicles at Tesla, NVIDIA, and now Stellantis, the parent company of Dodge, Fiat, and Chrysler.

Cvijetic will explain the opportunities that arise while building an entirely new infrastructure for training models for autonomous vehicles at a large automotive OEM, without the hindrance of having to support legacy systems. She will also discuss how she plans to achieve Stellantis’s publicly shared goals around Level 3 autonomy in 2024. The Stellantis portfolio includes Jeep, meaning its systems will also handle off-road scenarios. Kaplan and Cvijetic will also cover core paradigms in autonomous vehicles, from mapping to deploying to a million-vehicle fleet, to large language models, with more than a few surprising real-world anecdotes.

Prior to Stellantis and NVIDIA, Cvijetic worked on autopilot and infotainment systems at Tesla, served on the adjunct faculty of Columbia University, and held senior research positions at NEC Labs America. She holds more than 20 U.S. patents.

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Neda Cvijetic
Russell Kaplan
11:45 PM, GMT
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12:15 AM, GMT+1
Stage 1
Fireside Chat
A Vision for Advancing the Democratization of AI

Stable Diffusion disrupted the deep learning scene when it was released in August, advancing the field of text-to-image models because of its ability to generate photo-realistic images given any text input. And unlike other models, Stable Diffusion makes its source code available, further advancing the democratization of AI. Stable Diffusion was created by Stability AI, in collaboration with EleutherAI and LAION. Stability AI is on a mission to design and implement solutions using collective intelligence and augmented technology and has developer communities with over 20,000 members who are building AI for the future. In this fireside chat, Emad Mostaque, CEO of Stability AI, will discuss emerging trends for open source AI infrastructure, the importance of data for real-world applications of AI, and predictions on the development of “text-to-everything” in artificial intelligence.

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Emad Mostaque
Alexandr Wang
12:15 AM, GMT +1
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12:30 AM, GMT+1
Stage 1
Opening / Closing
Closing Remarks with Alexandr Wang, CEO & Founder of Scale AI
Alexandr Wang
Sponsors
Event has finished
October 19, 4:00 PM, GMT
Online
Event has finished
October 19, 4:00 PM, GMT
Online