Data + Generative AI : Unlocking Real-World Value in Life Sciences

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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 counters will remain open through the day
    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.
    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.
    Includes networking, and expo area tour.
    In this session, Vertex will share how it uses AWS to take R&D imaging techniques like cryoEM, to the next level leveraging AI and ML – while increasing efficiencies and maintaining costs.
      Food & beverage, networking, and expo area tour

    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.
    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.
    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.
    Closing remarks and key highlights from the day’s sessions
    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

        Tab 5 content

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        Track6 Session 1

        Tab 6 content

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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


        Quis Nostrud Exercitation

        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

        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

        • Pasquale DeMaio

          General Manager, Amazon Connect
          AWS


        • Chris Hennesey

          Director of Enterprise Strategy
          AWS


        • Alice Pope

          VP, Global Operations & Customer Experience
          Amazon
        • Annie Weinberger

          Head of Product Marketing, Business Applications
          AWS
        • Kent Lemon

          SVP, Contact Center Customer Engagement
          U.S. Bank
        • Tiffani Bova

          Tiffani Bova

          Global Customer Growth and Innovation Evangelist
          Salesforce
        • Chad Hendren

          Principal Solution Architect
          AWS
        • Bruce Mitchell

          Technical Product Owner,
          Voice Technologies
          Canada Technology Functions
          Manulife
        • Jason Colwell

          Value Stream Owner,
          Contact Centre Transformation
          Manulife
        • 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.

        • 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

        • 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.


        Thank you to our partner sponsors

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        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.

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        Thank you to our partner sponsors



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