Explore the latest from AWS in generative AI and LLMs, including the newly launched Amazon Bedrock. Discover new data tools for collaboration and generating insights, like Amazon Clean Rooms and Amazon Omics.


Unlocking data, analytics, and machine learning to accelerate innovation.


About the event

Life science organizations are at a turning point in how they use data science and machine learning (ML) to accelerate the research and development of life saving medicines. But, unlocking the true value of data and harnessing the power of ML to accelerate innovations requires executive leadership engagement and an end-to-end data strategy.

Join us for this exclusive, executive event to learn how life sciences leaders are advancing innovations through robust data foundations and machine learning on the cloud. Hear real-world examples from forward-thinking companies on how they are utilizing technology for gaining data-driven insights to fulfill their current and future needs.

The event will feature keynotes, lightning talks, product demos, and panel discussions across two parallel tracks:

Track 1: Accelerating pharmaceutical drug discovery with ML
Track 2: Unlocking access to and insights from data

Following the symposium, join us for dinner and an AWSome view of the Red Sox and Mariners baseball game at Fenway Park.


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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




About the event

Life science organizations are at a turning point in how they use data science and machine learning (ML) to accelerate the research and development of life saving medicines. But, unlocking the true value of data and harnessing the power of ML to accelerate innovations requires executive leadership engagement and an end-to-end data strategy.

Join us for this exclusive, executive event to learn how life sciences leaders are advancing innovations through robust data foundations and machine learning on the cloud. Hear real-world examples from forward-thinking companies on how they are utilizing technology for gaining data-driven insights to fulfill their current and future needs.

The event will feature keynotes, lightning talks, product demos, and panel discussions across two parallel tracks:

Track 1: Accelerating pharmaceutical drug discovery with ML
Track 2: Unlocking access to and insights from data

Who should attend?

Track 1: Accelerating pharma drug discovery with ML

This track is designed for senior-level business decision makers and technical leaders looking to solve pharma research challenges.

Ideal for: Chief Scientific / Research / Medical / Clinical Development Officers, and other Research and Discovery Executives

Track 2: Unlocking access to and insights from data

This track is designed for senior-level business decision makers and data leaders looking to drive better outcomes with their own data, third party data, and multi-modal data.

Ideal for: Chief Data / Analytics / Strategy / Innovation Officers, and other Data and Analytics, R&D IT, and Real-world Data Executives

 


 Why should I attend?

At this event you will:

- Discover how life sciences leaders are using data analytics and machine learning to address critical business challenges and advance patient innovation

- Learn about newly-launched and upcoming AWS offerings, purpose-built for the life sciences industry

- Explore necessary steps to optimize cloud costs and unlock operational efficiencies across the value chain

- Network with your peer executives and AWS leadership team in life sciences



Event agenda

  • 12:00PM

    Registration & Check-in

    Boxed lunches will be provided.

  • 12:30PM

    Welcome & Introduction

    AWS Leadership Keynote
    Lisa McFerrin, Head of Research Strategy & Solutions, AWS

  • 1:00PM

    Making Generative AI Easier: A view into new AWS offerings, including Amazon Bedrock

    AWS-Led Talk
    Ujjwal Ratan, Leader, ML and Data Science, Healthcare and Life Sciences, AWS

  • 1:30PM

    Hype or Hope - Drivers & Considerations for AI/ML in Research

    Panel Discussion
    Ben Mabey, Chief Technology Officer, Recursion
    Ankit Gupta, Co-Founder & Chief Technology Officer, Reverie Labs

  • 2:00PM

    Coffee Break

  • 2:15PM

    Maximizing Productivity & Scale with High-Performance Computing & Cryo-EM in the Cloud

    Lightning Talk
    Paul O'Malley, Senior Engineer, Bristol Myers Squibb

  • 2:30PM

    Applications of Protein Structure Prediction in Drug Design

    Lightning Talk
    Christian Buhay, Director, Head of Advanced Computational Engineering, Regeneron

  • 2:45PM

    ML Innovations for Pharma Drug Discovery - What's Next?

    AWS-led Talk
    Amrita Sarkar, Principal, Healthcare & Life Science Startups, AWS

  • 3:00PM

    Coffee Break

  • 3:15PM

    Knowledge Graphs - Integrating Information for Semantic Learning

    Lightning Talk 
    Vijay Bulusu, Head, Data & Digital Innovation, Worldwide Research, Development & Medical, Pfizer

    • 3:30PM

      Learning Molecular Principles to Turn Drug Discovery into a Technological Pursuit

      Lightning Talk
      Gevorg Grigoryan, Chief Technology Officer, Generate:Biomedicines

    • 3:45pm

      Bringing It All Together - Getting Ready for Where We’re Headed

      Closing
      Dan Sheeran, General Manager, Healthcare and Life Sciences, AWS

    • 4:00PM

      Ask the Experts Expo & Networking

    • 5:30PM

      Bus to Fenway Park for Red Sox Hospitality Event

  • 12:00PM

    Registration & Check-in

    Boxed lunches will be provided.

  • 12:30PM

    Welcome & Introduction

    AWS Leadership Keynote
    Valerie Delva, Worldwide Head, Data/AI/ML, Strategy & Solutions, AWS

  • 1:00PM

    Optimizing Your Data Stores

    Lightning Talk
    Barry Wark, Co-Founder & Chief Strategy Officer, Ovation.io

  • 1:15PM

    Amazon Omics Update

    Product Demo
    Mary Olson, Product Lead, Amazon Omics, AWS

  • 1:30PM

    Providing Governed Data Access - Checks & Disciplines

    Fireside Chat
    Madalina Tanasie, Chief Technology Officer, Collibra

  • 1:45PM

    Coffee Break

  • 2:15PM

    Unlocking the Value of Your Own Data

    Lightning Talk
    Dr. Chen Su, Senior Director, Enterprise High Performance Computing, Eli Lilly
    Dr. Mia Levy, Chief Medical Officer, Foundation Medicine

  • 2:45PM

    AWS Clean Rooms for Life Sciences: Multi-Party Collaborations Without Revealing Underlying Data

    Lightning Talk
    Tal Rosenberg, President, Emerging Businesses & Chief Partnership Officer, Datavant

  • 3:00PM

    Coffee Break

  • 3:15PM

    Recent NCI/NIH Data Policy Changes and Implications

    Lightning Talk
    Dr. Jay Schnitzer, Senior Vice President, Chief Medical and Technology Officer, MITRE

  • 3:30PM

    Real-world Data - Creating Data Products with ROI

    Lightning Talk 
    Arnaub Chatterjee, Chief Product and Solutions Officer, TrinetX

  • 3:45PM

    Bringing It All Together - Getting Ready for Where We’re Headed

    Closing
    Tehsin Syed, GM, HealthAI, AWS

  • 4:00PM

    Ask the Experts Expo & Networking

  • 5:30PM

    Bus to Fenway Park for Red Sox Hospitality Event

  • 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

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:

_______________________________________________________

Location

May 15, 2023 | 12:00PM - 6:00PM ET

Hyatt Regency Boston / Cambridge
575 Memorial Drive, Cambridge, MA 02139

Testimonials

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.

- Attendee

It’s as though every session was specifically planned to answer our questions. One after the other, each meeting addressed some problem we wanted to solve in our business.

- Attendee

I’ve spent a lot of money on conferences and haven’t come close to enjoying myself or learning as much as I did at this event. 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.

- Attendee


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.” - Attendee

“It’s as though every session was specifically planned to answer our questions. One after the other, each meeting addressed some problem we wanted to solve in our business.” - Attendee

“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.” - Attendee

Track 1: Accelerating pharma drug discovery with ML

12:00 PM - 6:00 PM ET
12:00 pm

Registration & Check-in

Boxed lunches will be provided
_________________________________________________________

12:30 pm
Welcome & Introduction
AWS Leadership Keynote
_________________________________________________________

1:00 pm
End-to-End Research Innovation
Lightning Talk
_________________________________________________________

1:15 pm
Hype or Hope - Drivers & Considerations for AI/ML in Research
Panel Discussion
_________________________________________________________

1:45 pm
Coffee Break
_________________________________________________________

2:00 pm
Cloud Economics - Unlocking Costs & Operational Efficiencies Across the Value Chain
AWS-led Talk
_________________________________________________________

2:15 pm
Maximizing Productivity & Scale with High-Performance Computing & Cryo-EM in the Cloud
Lightning Talk
_________________________________________________________

2:30 pm
Applications of Protein Structure Prediction in Drug Design
Lightning Talk
_________________________________________________________

2:45 pm
ML Innovations for Pharma Drug Discovery - What's Next?
AWS-led Talk
_________________________________________________________

3:00 pm
Coffee Break
_________________________________________________________

3:15 pm
Knowledge Graphs - Integrating Information for Semantic Learning
Lightning Talk
_________________________________________________________

3:30 pm
ML-driven Therapy Development & Customization
Lightning Talk
_________________________________________________________

3:45 pm
Bringing It All Together - Getting Ready for Where We’re Headed
Closing
_________________________________________________________

4:00 pm
Networking Reception
_________________________________________________________

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.

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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.

Customer Highlights

Epic Logo Image

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

Yelp Logo Image

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.

Yelp

Airbnb Logo Image

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.

Airbnb

Lyft Image

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.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. 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.