Data Generative AI : Unlocking Real-World Value in Life Sciences
Moving from proof of concepts to real-world implementations, life sciences companies are leveraging generative AI to revolutionize every facet of drug discovery and clinical development, fundamentally reshaping how they bring ground-breaking therapeutics to market faster.
Join us in Boston to learn how AWS customers are accelerating drug discovery and clinical development through:
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Generative AI Autonomous Agents
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New biology Foundation Models
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Closed loop AI/wet lab systems
The new era of life sciences innovation starts today - reserve your spot now.
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100,000 databases migrated to AWS 10,000 data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases
Reception & Next-Gen Tech Expo
Network and connect with fellow industry leaders, and partners from across the life sciences industry during our networking reception. Interact with business and product leaders from across AWS, explore new technology demos, and hear about the latest offerings from top life sciences industry partners.
Why should I attend?
The Life Sciences Leaders Symposium is an invite-only event for life sciences leaders. During this year’s event, you’ll hear first-hand experiences from leading life sciences organizations, and dive deeper into:
- Building robust, end-to-end data strategy to truly unlock AI as an organization-wide capability, and turn your data into a differentiator
- Leveraging ML and generative AI to accelerate and improve outcomes across R&D and clinical development
- Gain an advanced behind the scenes look into the latest technology and partner offerings
Event Agenda
Registration & Check-in Open
8:00 - 9:30 AM ET
- Registration counters will remain open through the day
Opening
Life Science Leaders Keynote Address
Dr. John Marioni, SVP and Head of Computational Sciences, Genentech Research and Early Development (gRED), Genentech
Kimberly Powell, VP of Healthcare and Life Sciences, NVIDIA
Dan Sheeran, General Manager, Healthcare and Life Science, AWS
Ujjwal Ratan, Leader, ML and Data Science, Healthcare and Life Sciences, AWS
9:30 – 11:00 AM ET
- Leaders from Roche, NVIDIA, and AWS will take the stage to share the art of the possible in pharma R&D and clinical development with generative AI.
Lightning Talk
Digital Connected Labs: Integrating Equipment, Data, and Machine Learning
Jacob Berlin, PhD., CEO, Terray Therapeutics
11:00 – 11:25 AM ET
- Discover how Terray is unlocking the future by seamlessly integrating equipment, data, and machine learning in their research labs – transforming the way experimentation and computation work together.
Lunch
11:25 - 12:25 PM ET
- Includes networking, and expo area tour.
Building R&D Workflows with Generative AI - Keeping Pace with Emerging Models
Joshua Batson, Research Scientist, Anthropic
Brian Loyal, Principal AI/ML Solution Architect, Global Life Sciences, AWS
12:25 - 1:15 PM ET
- Choosing the right model is only a part of the puzzle. Its critical to adapt models to your data and use case–particularly when dealing with the complexity and uniqueness of health data. This session will help you navigate the decision-making process when selecting models for a range of life sciences use cases, with a focus on building AI responsibly.
Lightning Talk
Elevating Research Imaging and Molecular Activity Prediction to the Next Level
Roberto Iturralde, Senior Director, Software Engineering, Vertex Pharmaceuticals
1:15 – 1:40 PM ET
- In this session, Vertex will share how it uses AWS to take R&D imaging techniques like image segmentation, and ML-powered molecular activity studies to the next level leveraging AI and ML – while increasing efficiencies and maintaining costs.
Lightning Talk
Accelerating Research & Development with Data and AI
Pranava Goundan, Principal and Leader of R&D AI practice, ZS
1:40 – 2:05 PM ET
- In this session, ZS will delve into the pivotal role generative AI will play in transforming drug discovery – spanning from target identification to trial design, uncovering both the opportunities and challenges along the way.
Coffee
2:05 – 2:35 PM ET
- Food & beverage, networking, and expo area tour
Lightning Talk
Accelerating Clinical Development with Data and AI
Matt Rich, Principal, Pharma Life Sciences Leader, PWC
Sidd Bhattacharya, Partner, Generative AI Leader, Pharma & Life Sciences, PwC
2:35 – 3:00 PM ET
- This session will explore how life sciences companies can use generative AI to overcome challenges in clinical development such as trial recruitment, and cover how model choice has provide life sciences companies the flexibility to easily access and implement the right tools for any clinical development use case.
Panel Discussion
Moving Generative AI From POCs to Enterprise Use
Barbara Latulippe, Head of Enterprise Data, CDO, Takeda
Petrina Kamya, Ph.D., Global Head of AI Platforms, VP, Insilico Medicine
Christopher Waller, Chief Scientist, EPAM
Moderated by: Tom Godden Enterprise Strategist and CxO Advisor at AWS
3:00 – 3:30 PM ET
- Hear strategic insights from life sciences leaders on transitioning generative AI from proof of concepts (POCs) to seamlessly integrating and scaling for robust enterprise applications.
Lightning Talk
Data for AI: Maximizing AI Through Robust Data Foundation
Murali Vridhachalam, Head of Cloud, Data, and Analytics, Gilead Sciences
3:30 – 3:55 PM ET
- Learn how Gilead is building an end-to-end enterprise data strategy, at the confluence of Cloud, Data, & Analytics, operating on a data mesh architecture. See how it is breaking down data silos for data management at scale, and unlocking generative AI and machine learning.
AWS-Led Talk
Bringing It All Together: Getting Ready for Where We’re Headed
Dan Sheeran, General Manager, Healthcare and Life Science, AWS
3:55 – 4:10 PM ET
- Closing remarks and key highlights from the day’s sessions
Reception & Next-Gen Tech Expo
4:10 - 6:00 PM ET
- Food & beverage, networking, and expo area tour
- 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
Who should attend?
This symposium is tailored for:- Business and technology decision makers and executives in life sciences organizations entrusted with transforming R&D and clinical development processes using ML and generative AI
- Life science IT leaders working to establish the underlying foundations to enable business teams
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:
Event Details & Location
Date: May 2, 2024
Leadership Networking Breakfast: 8:00 AM - 9:30 AM ET
Sessions: 9:30 AM - 4:00 PM ET
Reception & Next-gen Tech Expo: 4:00 PM - 6:00 PM ET
Venue: Boston Marriott Copley Place
Address: 110 Huntington Ave, Boston, MA 02116
Why attend
The Life Sciences Leaders Symposium is designed for business and IT executives supporting R&D and Clinical Development. Industry leaders at this event will dive deeper into:
-
Building robust, end-to-end data strategy to truly unlock AI as an organization-wide capability, and turn your data into a differentiator
-
Leveraging ML and generative AI to accelerate and improve outcomes across R&D and clinical development
-
Behind the scenes look into our latest technology and partner offerings
Who should attend
This symposium is tailored for:
-
Business and technology decision makers and executives in life sciences organizations entrusted with transforming R&D and clinical development processes using ML and generative AI
-
Life sciences IT leaders working to establish the underlying foundations to enable business teams
What past attendees have said
“The sessions were highly relevant. I am going back and checking the usage of these data and ML services at my organization to bring it all together.”
“It’s not often I go to an event where every talk is relevant and interesting. Thank you for including me.”
“The event was a right mix of knowledge sharing and networking.”
“I’m very impressed and amazed at how much AWS is doing in Life Sciences. These are the exact challenges we are looking to solve right now.”
Why you should attend
The Life Sciences Leaders Symposium is an invite-only event for life sciences leaders. During this year’s event, you’ll hear first-hand experiences from leading life sciences organizations, and dive deeper into:
-
Building robust, end-to-end data strategy to truly unlock AI as an organization-wide capability, and turn your data into a differentiator
-
Leveraging ML and generative AI to accelerate and improve outcomes across R&D and clinical development
-
Gain an advanced behind the scenes look into the latest technology and partner offerings
Who should attend
This symposium is tailored for:
-
Business and technology decision makers and executives in life sciences organizations entrusted with transforming R&D and clinical development processes using ML and generative AI
-
Life science IT leaders working to establish the underlying foundations to enable business teams
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Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est. laborum.
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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
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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.
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Dr. John Marioni, Senior Vice President and Head of Computational Sciences, Genentech Research and Early Development (gRED), Roche Genentech
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Kimberly Powell, VP of Healthcare and Life Sciences, NVIDIA
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Dan Sheeran, General Manager, Healthcare and Life Science, AWS
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Matt Rich, Principal, Pharma Life Sciences Leader, PwC
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Petrina Kamya, Ph.D., Global Head of AI Platforms, VP, Insilico Medicine
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Barbara Latulippe, Head of Enterprise Data, CDO, Takeda
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Ujjwal Ratan, Leader, ML and Data Science, Healthcare and Life Sciences, AWS
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Pranava Goundan, Principal and Leader of R&D AI practice, ZS
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Chris Waller, VP and Chief Scientist, EPAM Systems
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Brian Loyal, Principal AI/ML Solution Architect, Global Life Sciences, AWS
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Murali Vridhachalam, Head of Cloud, Data, and Analytics, Gilead Sciences
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Jacob Berlin, PhD, CEO, Terray Therapeutics
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Roberto Iturralde, Senior Director, Software Engineering, Vertex Pharmaceuticals
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Sidd Bhattacharya, Partner, Generative AI Leader, Pharma & Life Sciences, PwC
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Joshua Batson, Research Scientist, Anthropic
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Tom Godden, Enterprise Strategist and CxO Advisor, AWS
Thank you to our partner sponsors
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.