AWS Healthcare & Life Sciences Executive Symposium
November 27, 2023
12:30 PM - 5:00 PM PT, followed by networking reception
Check-in opens at 11:30 AM PT
The Cosmopolitan of Las Vegas
3708 Las Vegas Blvd S, Las Vegas, NV 89109
The symposium is currently at capacity, and all slots are full. You may still register and be added to the waitlist.
About the event
Life science organizations are at a turning point in their use of data science and machine learning (ML) to accelerate the research and development of life-saving medicines. However, unlocking the true potential of data and harnessing the power of ML to drive innovation demands the engagement of executive leadership and a comprehensive, end-to-end data and ML strategy.
We invite you to join us for this virtual executive event to learn how leaders in the life sciences are pioneering innovations through machine learning in the cloud. Listen to real-world examples from AWS customers, focusing on their AI/ML adoption strategies to meet both their present and future needs.
This event will showcase a keynote speech, lightning talks, and a panel discussion from customers and AWS speakers, spread across two tracks:
Track 1: Accelerating pharmaceutical R&D with ML
Track 2: Scaling an enterprise wide ML platform
Register for the symposium
About the event
Unlocking data, analytics, machine learning, and generative AI to accelerate healthcare & life sciences innovation
Healthcare and Life Sciences organizations are at a turning point in how they use data science, analytics, machine learning (ML), and generative artificial intelligence (AI) to accelerate the development and distribution of lifesaving treatments, improve the time to and quality of diagnoses, and advance the transition to personalized health and precision medicine. But, harnessing the power of data and AI/ML requires executive leadership engagement and an end-to-end data strategy.
Join us for this exclusive executive event to learn how industry leaders are reinventing their business with data, and unlocking patient-centric innovations with AI/ML in the cloud. Explore how they are using AWS’ comprehensive set of data capabilities to build scalable platforms that surface data-driven insights for their immediate challenges, while creating an innovation hub to plan for future needs.
The event will feature keynotes, panel discussions, lightning talks, and product discussions across:
- Applying AI/ML and generative AI to drug discovery & development, clinical decision support, and more
- Unlocking access to and insights from first-party, third-party, and multi-modal data
- Tools to democratize access to AI/ML and analytics
Location
November 27, 2023 | 11:30 AM - 6:30 PM PT
The Cosmopolitan of Las Vegas
3708 Las Vegas Blvd S, Las Vegas, NV 89109
Registration & Check-in: 11:30 AM - 12:15 PM PT
Session Timings: 12:30 PM - 4:45 PM PT
Networking reception: 5:00 PM - 6:30 PM PT
Networking reception sponsored by:
Please note that sign-up does NOT include a pass into the re:Invent main conference.
Who should attend?
This symposium is ideal for:
- Business Decision Makers and Technical Decision Makers who are tasked with transforming their businesses with enterprise-wide data & analytics platforms, and are leading ML and generative AI initiatives at their organization
- Chief Data / Analytics / Strategy / Medical / Innovation Officers, and other Data, AI and ML Executives
Why should I attend?
At this event you will:
- Discover how Healthcare and Life Sciences leaders are using AWS to break down data silos and build scalable, data-driven platforms for unlocking innovation
- Learn how organizations of all sizes are integrating ML and generative AI into their existing applications to extract deeper insights and accelerate time to answers, on the more secure, most extensive global infrastructure
- Get a view into our newly-launched and upcoming data and ML offerings
- Network with your peer executives and engage with the AWS Healthcare and Life Sciences Leadership Team
The symposium is currently at capacity, and all slots are full. You may still register and be added to the waitlist.
Event agenda
Registration
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11:30 AM - 12:15 PM PT
Registration & Check-in Open
Boxed lunches will be provided for open networking lunch.
Opening
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12:30 PM - 1:00 PM PT
Tackling critical industry challenges: Creating data strategies to unlock the promise of AI/ML
Ian Meyers, Director of Product Management & Engineering, AWS
Dave Williams, Chief Information and Digital Officer, Merck
Part 1: Leveraging data and analytics to accelerate and scale innovation
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1:00 PM - 1:20 PM PT
Accelerating Healthcare & Life Sciences innovation with AWS: A view into our data and analytics offerings
AWS-Led Talk
Valerie Delva, Head of Data/AI/ML Strategy & Solutions, AWS
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1:20 PM - 1:40 PM PT
Storage, search, and governance of multi-modal data
Lightning Talk
Pete Sinden, Chief Information Officer, Genomics England
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1:40 PM - 2:00 PM PT
Breaking internal data silos to make first-party data actionable
Lightning Talk
Chirayu Desai, Executive Director, Global Head of Enterprise Data and Analytics Engineering and Platforms, Bristol-Myers Squibb
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2:00 PM - 2:20 PM PT
Improving the patient experience with enhanced data collaborations
Lightning Talk
Eron Kelly, President, Inovalon
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2:20 PM - 2:40 PM PT
Accelerating innovation with real-world data
Lightning Talk
Paul Petraro, Executive Director, Global Head RWE Analytic Center of Excellence, Boehringer Ingelheim
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2:40 PM - 3:05 PM PT
Unlocking data for ML and generative AI use cases
Panel Discussion with Stanford Health Care
Dr. Nigam Shah, Professor of Biomedical Data Sciences, Stanford University School of Medicine; Chief Data Scientist, Stanford Health Care
Dr. Michael Snyder, Chair, Department of Genetics, and Director, Center for Genomics and Personalized Medicine, Stanford University School of Medicine
Dr. Michael Pfeffer, CIO, Stanford Health Care & Stanford University School of Medicine
Moderated by: Gretchen Brown, Chief Nursing Information Officer, Nursing Innovation & Informatics, Stanford Health Care
Coffee Break
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3:05 PM - 3:30 PM PT
Coffee Break
Coffee break & networking
Part 2: ML and generative AI to solve healthcare and life science challenges
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3:30 PM - 3:50 PM PT
Accelerating Healthcare & Life Sciences innovation with AWS: A view into our ML and generative AI offerings
AWS-Led Talk
Ujjwal Ratan, Leader, ML & Data Science, Healthcare & Life Sciences, AWS
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3:50 PM - 4:10 PM PT
AI/ML for Healthcare: Real-world use cases for immediate impact
Lightning Talk
Denis Zerr, CTO and CIO, Radiology Partners
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4:10 PM - 4:30 PM PT
AI/ML for Life Sciences: Real-world use cases for immediate impact
Lightning Talk
Youssef Idelcaid, Senior Director of Data Science, Commercial, Medical Affairs & Government Affairs, Genentech
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4:30 PM - 4:55 PM PT
Generative AI from a CISO perspective: Key considerations for responsible AI
Panel Discussion
Nidhi Luthra, VP & Chief Information Security Officer, Baxter
Clare Mohr, VP–Cyber Detect and Respond, Deloitte
Moderated by- Michael Kearns, Amazon Scholar, and Professor, University of Pennsylvania
Closing
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4:55 PM - 5:05 PM PT
Bringing It All Together: Getting ready for where we’re headed
Dan Sheeran, GM, Healthcare & Life Sciences, AWS
Networking Reception
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5:15 PM - 6:30 PM PT
Networking Reception
Sponsored by Deloitte
- Track 1: Accelerating pharma drug discovery with ML
- Track 2: Unlocking access to and insights from data
- Day 3
- Day 4
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- Track10 Session 1
Track 1: Accelerating pharma drug discovery with ML
Track 2: Unlocking access to and insights from data
Day 3
Day 4
Track5 Session 1
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Track6 Session 1
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Track7 Session 1
Tab 7 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track8 Session 1
Tab 8 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track9 Session 1
Tab 9 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Track10 Session 1
Tab 10 content
Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.
Multiple City Registration
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Hear from industry leaders, including:
What Past Attendees Have Said
“This was very exciting. I met more people in one day that I hoped to in a year. I’m very impressed and amazed at how much AWS is doing in Life Sciences.”
“It was great to attend this AWS event and speak with other Healthcare & Life Sciences leaders tackling similar challenges.”
“The event was a right mix of knowledge sharing and networking.”
“It’s not often I go to an event where every talk is relevant and interesting. Thank you for including me.”
“We’re used to being the only innovative company presenting, but I was floored with the number of companies presenting truly incredible work- both from scientific and technological perspectives.”
Track 1: Accelerating pharma drug discovery with ML
12:00 PM - 6:00 PM ET
12:00 pm
Registration & Check-in
12:30 pm
1:00 pm
1:15 pm
1:45 pm
2:00 pm
2:15 pm
2:30 pm
2:45 pm
3:00 pm
3:15 pm
3:30 pm
3:45 pm
4:00 pm
Day 2: Wednesday, October 5
9:00 AM - 12:00 PM PT | 12:00 PM - 3:00 PM ET
Learn how to optimize workforce productivity and performance, personalize customer experiences, and build a scalable contact center on Amazon Connect.
Location
November 27, 2023 | 11:00 AM - 6:30 PM PT
Hyatt Regency Boston / Cambridge, 575 Memorial Drive, Cambridge, MA 02139
Registration & Check-in: 11:00 AM - 12:15 PM
Session Timings: 12:30 PM - 4:45 PM
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Networking reception: 5:00 PM - 6:30 PM
Sponsored by:
Featured Speakers
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Pasquale DeMaio
General Manager, Amazon Connect
AWS
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Chris Hennesey
Director of Enterprise Strategy
AWS
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Alice Pope
VP, Global Operations & Customer Experience
Amazon
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Annie Weinberger
Head of Product Marketing, Business Applications
AWS
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Kent Lemon
SVP, Contact Center Customer Engagement
U.S. Bank
-
Tiffani Bova
Global Customer Growth and Innovation Evangelist
Salesforce
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Chad Hendren
Principal Solution Architect
AWS
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Bruce Mitchell
Technical Product Owner,
Voice Technologies
Canada Technology FunctionsManulife
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Jason Colwell
Value Stream Owner,
Contact Centre TransformationManulife
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Raju Gulabani, VP of Databases, Analytics & AI, AWS
Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.
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Ryan Kelly, Data Architect, Equinox
Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox
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Richard Boyd, Cloud Data Engineer, iRobot
Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.
Customer Highlights
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.
FAQS
- Where is AWS Innovate hosted?
- What is the price of attending AWS Innovate?
- Who should attend AWS Innovate?
- How do I get the certificate of attendance?
Q: Where is this event?
A: This event is an online event, hosted by AWS on the INXPO platform.
Q: Who should attend this event?
A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.
Q: How much does this event cost?
A: There is no cost to attend this event.
Q: What are the prerequisites before attending the event?
A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.