Generative AI and the future of financial services
On-demand Webinar
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 to watch on-demand now
About the event
Generative artificial intelligence (AI) applications, like ChatGPT, have captured the headlines and imagination of the public. In the financial services industry, leaders and developers are eager to understand generative AI’s potential and put it to work.
Join a conversation with industry leaders from Accenture and NVIDIA alongside Amazon Web Services (AWS) as they discuss how generative AI will transform financial services, the risks and opportunities, as well as practical approaches to start exploring application of generative AI in their business. Register now and fast-track your AI journey.
Event highlights
- How generative AI is reshaping the way financial services institutions work
- Gain perspective from innovative leaders who are leveraging generative AI to experiment and transform their business
- Insight on the use cases for financial services
- Actionable steps to start your generative AI journey
- New Generative AI tools on AWS
- Resources to help you take a pragmatic and responsible approach
- How partners like Accenture and NVIDIA help build a journey to generative AI
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
- 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
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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
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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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Event hosts
Testimonials
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.
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Featured speakers
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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.
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.