Missed out on AWS re:Invent 2023? Get the executive recap

AWS re:Invent 2023 highlighted the incredible momentum behind generative AI, announcing many significant new capabilities across all three layers of the stack that make it easy for customers to use generative AI pervasively. This virtual event will provide a recap of the key innovations at each layer.

In this session you'll learn:

  • Key advances in generative AI showcased at re:Invent

  • How your peers are driving business value for their organizations

  • Expert perspectives on the future of generative AI

  • Recommendations to get started using AWS generative AI resources.

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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

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Event Agenda


Event Agenda

  • Business track topics
  • Technical track topics
  • Track3 Session 1
  • Track4 Session 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • 10 Session 1

Business track topics

Kick off
10:00 AM - 10:10 AM PT
Speaker:
Deirdre Toner, Managing Director of Worldwide Data, AWS

Infrastructure for foundation model training and inference
10:10 AM - 10:30 AM PT
The bottom layer of the stack is the infrastructure—compute, networking, frameworks, services—required to train and run large language models (LLMs) and other foundation models (FMs). We will cover how AWS innovates to offer the most advanced infrastructure for machine learning.
Speaker:
Raghvender Arni, Director SA, CAT, AWS Industries, AWS

Tools to build with large language models (LLMs) and other foundation models (FMs)
10:30 AM - 11:10 AM PT
The middle layer of the stack comprises of Amazon Bedrock. We will cover how Amazon Bedrock has added new FMs and a wave of new capabilities to make it even easier for customers to securely build and scale generative AI applications.
Speakers:
Raghvender Arni - Director SA, CAT, AWS Industries

Break
11:10 AM - 11:15 AM PT
Sessions to resume at 11:15 AM PT

Applications that leverage large language models (LLMs) and other foundation models (FMs) and Amazon Q Demo
11:15 AM - 11:45 PM PT
At the top layer of the stack are applications that leverage LLMs and other FMs so customers can take advantage of generative AI at work. Here we will provide an overview about the new customization capability in Amazon CodeWhisperer and an intro to Amazon Q.
Speaker:
Tom Godden - Director of Enterprise Strategy, AWS

Q&A
11:45 AM

Technical track topics

Technical track topics

  • Building Serverlesspresso: serverless ordering and fullfilment system (workshop)

  • Creating event-driven architectures

  • Evolving security capabilities

  • Serverless containers

  • AI & machine learning

  • Choosing the right database

  • Observability and system recovery

  • Automating developer workflows

Track3 Session 1

Tab 3 content

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Track4 Session 1

Tab 4 content

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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.

10 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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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Snapshots from AWS re:Invent 2023

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

Who should attend?

This event is ideal for Business leaders looking to stay ahead of the curve on generative AI. It's tailored for decision makers across all functions - from engineering to marketing to product - who want to understand how to strategically leverage generative AI. The session will focus on AWS's latest generative AI capabilities and how leaders can start putting them into practice across their organization.

Why should I attend?

This event recaps the top generative AI keynotes, announcements, and demos from re:Invent 2023. You'll get expert insights on practical ways to apply these technologies to drive business value - both now and in the future. Join this session to learn how to make informed strategic decisions about generative AI adoption for your organization to start leveraging these powerful technologies.

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Speakers

  • Adam Driver

    Director Worldwide Analytics, AWS
  • Deirdre Toner

    Managing Director of Worldwide Data, AWS
  • Raghvender Arni

    Director SA, CAT, AWS Industries
  • Tom Godden

    Director of Enterprise Strategy, AWS
  • Noelle Russell

    Global AI Solutions Lead, Accenture
  • Harrison Chase

    Co-founder and CEO, LangChain
  • Catalin Voss

    Co-founder + CTO, Ello
  • Paroma Varma

    Co-Founder & Head of Applied ML, Snorkel AI
  • Sarah Guo

    Founder and Managing Partner, Conviction
  • 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

FAQs

Where is re:Invent Recap - Best of Generative AI hosted??

re:Invent Recap - Best of Generative AI is an online webinar. After completing the online registration, you will receive a confirmation email containing the instructions that you will need to access the platform.

How do I access online platform?

You will have to set a username and password to complete your registration and access the event on live day. If you have any questions, contact us at [email protected].

What is the price of re:Invent Recap - Best of Generative AI?

re:Invent Recap - Best of Generative AI is a complimentary online conference.

Can I get confirmation of re:Invent Recap - Best of Generative AI?

After completing the online registration process, you will receive a confirmation email.

Do I need preexisting knowledge of generative AI in order to attend the event? 

Absolutely not. This event is designed to cater to individuals at all levels, whether you are an experienced professional or a beginner. It will provide insights into the latest trends, best practices, and tools and services in the field of Generative AI. 

Are there session in other languages?

No. This Recap - Best of Generative AI will only be available in English.

How can I contact online conference organizers?

If you have questions that have not been answered in the FAQs above, please email us at [email protected].