Get started on your AI growth story

Generative artificial intelligence (AI) is changing how organizations work—from operations to service delivery and everything in between. By the year 2030, the generative AI market is expected to reach $15.7 trillion in value, resulting in a 26% increase in global GDP.1.

Amazon Web Services (AWS) offers new services to help you write your AI growth story. Building on 20+ years of AI leadership, these generative AI tools make it faster and easier to launch AI applications.

During this on-demand webinar, you will discover:

  • How generative AI is reshaping the way organizations reach their audiences
  • How you can use generative AI to solve key business challenges
  • New AWS generative AI tools like Bedrock, Titan, Infrastructure & CodeWhisperer that can help you build and scale AI applications rapidly

Register now and fast-track your AI journey.

1. Enterprise Apps Today: Generative AI Statistics By Industry, Sector, Revenue and Facts

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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

45 mins Keynote
  Track 1 - Get started: Moving your data to the cloud Track 2 - Building apps with modern databases Track 3 - Get started: Building your data lake Track 4 - Analyzing and getting insights
40 mins Migrate your Oracle and SQL Server databases to Amazon RDS (200) Which database to choose: Pick the right purpose-built database for the job (200) How to go from zero to data lake in days (200) Amazon Redshift use cases and deployment patterns (400)
Migrate your on-premises Data Warehouse to Amazon Redshift (200) Building large scale data-driven apps with AWS databases (300) Picking the right analytical engine for your needs (200) Processing Big Data with Hadoop, Spark, and other frameworks in Amazon EMR (300)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
Deploying open source databases on AWS (200) Databases for building business-critical enterprise apps (300) Big data in the era of heavy privacy regulations (200) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
40 mins Why cloud databases like Amazon Aurora are more scalable and reliable (300) Extreme Performance at Cloud Scale: supercharge your real-time apps with Amazon ElastiCache (300) Breaking the silos: Extending your DW to your data lake (300) Scalable, secure log analytics with Amazon Elasticsearch Service (200)
50 mins Customer spotlight 1: How iRobot built the Roomba to use real-time data to smartly clean your home - 45 min or Customer spotlight 2: Equinox’s Data Warehouse modernization journey - 45 min Conclusion - 5 min

Session Details

  • Track1 Session 1
  • Track2 Session 1
  • Track3 Session 1
  • Track4 Session 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • 10 Session 1

Track1 Session 1

Migrate your Oracle and SQL Server databases to

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.

Track2 Session 1

Migrate your Oracle and SQL Server databases to

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.

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

AWS Sponsors

 

AWS partners with trusted organizations including BREX, Mercury, and MongoDB to provide startup-friendly perks designed to help you grow and succeed. Hear from our partners to learn how their solutions can support your startup in the growing Web3 sector and beyond.



 

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

Are you looking to explore the big questions around startups and the third iteration of the world wide web?

Web3 Ready will challenge business decision-makers, operators, founders, and C-level executives to ask questions, learn from experts, and think big. If you’re considering creating a startup that will use Web3, already involved in a startup looking to leverage Web3 technologies built on the cloud, or simply curious about what Web3 means for the future, we invite you to come learn alongside us.

Why Should I Attend

Are you curious how we power startups in the decentralized space? Web3 Ready is packed with sessions that will explore how to enable startups with thought leadership content and help build more robust businesses. Our expert panelists will showcase the possibilities of employing new technologies in the growing Web3 sector—and explore the range of ways startups can leverage these systems on AWS. At this event you will: 

  • Learn the fundamentals of trending technologies in the startup world like blockchain, NFT/Metaverse, and DeFi.

  • Gain an understanding of how your startup can adopt these technologies to your advantage, no matter the industry you’re in.

  • Hear from technology experts, business leaders and founders, on the lessons learned through effective use and implementation of these new technologies.

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Featured Speakers

  • Nicole Foster

    Nicole Foster, Director of Global Artificial Intelligence & Machine Learning, AWS

    Nicole Foster leads global AI public policy for AWS. Her key areas of focus include issues related to emerging technology, digital modernization, cloud computing, cyber security, as well as data protection and privacy.

  • Heiko Hotz

    Heiko Hotz, Senior Solutions Architect for AI & Machine Learning, AWS

    Heiko Hotz is a Senior AWS Solutions Architect for AI & Machine Learning, with a special focus on Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. Previously, he served as the Head of Data Science for Amazon’s EU Customer Service team.

  • Divya Wynn

    Diya Wynn, Sr. Practice Mgr, AI/ML Ethics, ML Solutions Lab, AWS

    Diya Wynn is the Senior Practice Manager of Responsible AI at the AWS Machine Learning Solutions Lab. She leverages 25+ years of experience as a technologist driving inclusion, diversity & equity initiatives, and guiding organizations in establishing AI/ML operating models that enable inclusive and responsible products.

  • Girish Arunagiri

    Girish Arunagiri, Principal
    Machine Learning Go-To-Market Specialist, AWS


  • Ritesh Vajariya

    Ritesh Vajariya, Principal
    Machine Learning Go-To-Market Specialist, AWS

  • Mo Shaikh, Co-Founder, Aptos Labs

    Mo is the CEO and Cofounder of Aptos, a blockchain designed for the next billion users. He is a 3x founder with over a decade of multinational financial services and blockchain/crypto experience. 

  • 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.

  • 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

Where is the event?

This is a live, online event hosted by AWS. 

When is the event?

,

How much does it cost to attend this event?

There is no cost to attend this event. 

What if I cannot attend this event?

You can still register in order to receive relevant presentation slides and videos after the event concludes. 

Do I need preexisting knowledge of blockchain technology to attend?

Nope! This event will lay out the fundamentals of blockchain and DeFi and how you can adopt them to further your startup’s growth and success.