Hear the latest in machine learning from industry-leading scientists, AWS customers, and experts.
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Event overview
Machine learning (ML) is one of the most disruptive technologies we will encounter in our generation, but we’re just getting started. The Machine Learning Summit brings together industry-leading scientists, AWS customers, and experts to dive deep in to the art, science, and impact of machine learning. You’ll hear from industry leaders on the latest science breakthroughs in ML, get real-world learnings on how ML is impacting business, learn best practices in building ML, and learn how to get started with no expertise required. The Machine Learning Summit is free to attend, features over 30 sessions, and includes a live Q&A.
Featured speakers
Swami Sivasubramanian
VP of AI and Machine Learning at AWS
Bratin Saha
VP of Machine Learning at AWS
.
Yoelle Maarek
VP of Research, Alexa at AWS
.
Andrew Ng
Founder of DeepLearning.AI
Bernhard Schöelkopf
VP, Distinguished Scientist at Amazon and Director at the Max Planck Institute for Intelligent Systems
Image credit: Herlinde Koelbl
Michael Kearns
Amazon Scholar at AWS and Professor and National Center Chair Department of Computer and Information Science at the University of Pennsylvania
.
Kathleen McKeown
Amazon Scholar at AWS, Henry and Gertrude Rothschild Professor of Computer Science at Columbia University, and Founding Director of Columbia’s Data Science Institute
Alex Smola
VP, Distinguished Scientist at AWS
.
Agenda
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Americas
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Asia-Pacific and Japan
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Europe, Middle East, and Africa
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Americas
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June 2, 2021
8:00–9:00 a.m. (PDT)
Opening keynote
Hear from leaders across AWS and Amazon, including Dr. Swami Sivasubramanian, VP of AI and Machine Learning; Bratin Saha, VP of Machine Learning; and Yoelle Maarek, VP of Research, Alexa Shopping, about how we’re applying customer-obsessed science to ML.
9:00–9:45 a.m. (PDT)
Fireside Chat
As ML spreads to more industries and across different lines of business, the structure and processes needed to create models must adapt to new environments and use cases. Join us for a Fireside Chat with Dr. Andrew Ng in conversation with Dr. Swami Sivasubramanian as they discuss the future of ML, the skills that are fundamental for the next generation of ML practitioners, and how we can bridge the proof-of-concept-to-production gap in ML. Come away understanding how to accelerate model building and deployment and how to build a business case for your project.
9:00 a.m.–3:30 p.m. (PDT)
Breakout sessions
The Machine Learning Summit has 30+ sessions over four tracks:
- Science of Machine Learning: a deep dive into the groundbreaking work being done by ML scientists in areas like computer vision, natural language processing, and bias and fairness.
- Impact of Machine Learning: hear from AWS customers about real-world ml implementations.
- How Machine Learning is Done: for data scientists who want to learn how to build, train, and deploy models more quickly while using ML.
- Machine Learning, No Expertise Required: see you how to leverage AWS AI Services and other tools to get started with your ML project right away.
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Asia-Pacific and Japan
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June 3, 2021
8:00–9:00 a.m. (SGT)
Opening keynote
Hear from leaders across AWS and Amazon, including Dr. Swami Sivasubramanian, VP of AI and Machine Learning; Bratin Saha, VP of Machine Learning; and Yoelle Maarek, VP of Research, Alexa Shopping, about how we’re applying customer-obsessed science to ML.
9:00–9:45 a.m. (SGT)
Fireside Chat
As ML spreads to more industries and across different lines of business, the structure and processes needed to create models must adapt to new environments and use cases. Join us for a Fireside Chat with Dr. Andrew Ng in conversation with Dr. Swami Sivasubramanian as they discuss the future of ML, the skills that are fundamental for the next generation of ML practitioners, and how we can bridge the proof-of-concept-to-production gap in ML. Come away understanding how to accelerate model building and deployment and how to build a business case for your project.
9:00 a.m.–3:30 p.m. (SGT)
Breakout sessions
The Machine Learning Summit has 30+ sessions over four tracks:
- Science of Machine Learning: a deep dive into the groundbreaking work being done by ML scientists in areas like computer vision, natural language processing, and bias and fairness.
- Impact of Machine Learning: hear from AWS customers about real-world ml implementations.
- How Machine Learning is Done: for data scientists who want to learn how to build, train, and deploy models more quickly while using ML.
- Machine Learning, No Expertise Required: see you how to leverage AWS AI Services and other tools to get started with your ML project right away.
-
Europe, Middle East, and Africa
-
June 3, 2021
8:00–9:00 a.m. (GMT)
Opening keynote
Hear from leaders across AWS and Amazon, including Dr. Swami Sivasubramanian, VP of AI and Machine Learning; Bratin Saha, VP of Machine Learning; and Yoelle Maarek, VP of Research, Alexa Shopping, about how we’re applying customer-obsessed science to ML.
9:00–9:45 a.m. (GMT)
Fireside Chat
As ML spreads to more industries and across different lines of business, the structure and processes needed to create models must adapt to new environments and use cases. Join us for a Fireside Chat with Dr. Andrew Ng in conversation with Dr. Swami Sivasubramanian as they discuss the future of ML, the skills that are fundamental for the next generation of ML practitioners, and how we can bridge the proof-of-concept-to-production gap in ML. Come away understanding how to accelerate model building and deployment and how to build a business case for your project.
9:00 a.m.–3:30 p.m. (GMT)
Breakout sessions
The Machine Learning Summit has 30+ sessions over four tracks:
- Science of Machine Learning: a deep dive into the groundbreaking work being done by ML scientists in areas like computer vision, natural language processing, and bias and fairness.
- Impact of Machine Learning: hear from AWS customers about real-world ml implementations.
- How Machine Learning is Done: for data scientists who want to learn how to build, train, and deploy models more quickly while using ML.
- Machine Learning, No Expertise Required: see you how to leverage AWS AI Services and other tools to get started with your ML project right away.
Why Attend?
It’s a rare opportunity to hear from industry leaders on the most pressing ML topics of today—all for free!
Who should attend?
The Machine Learning Summit is a conference for technologists and offers tracks for ML experts, technology leaders, and those who are just getting started in ML.
Hear the latest in machine learning from industry-leading scientists, AWS customers, and experts.
Thank you for attending the AWS Machine Learning Summit. All content is now available on-demand.