Amazon Web Services, Inc.

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Building the ideal architecture
for remote and hybrid work
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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
Why attend?
Increasing reliance on remote and hybrid work requires an evolution in the way we use technology to prevent risks while reducing costs.
Industry trends point to better ways to get work done and retain talent, with over 70% of the Global 2000 organizations deploying remote or hybrid-first work models by 2023.1 This puts pressure on IT, security, and human resources teams trying to build and manage infrastructure and onboard new hires based remotely all while providing secure access to propriety data without creating risk or exposure to bad actors.
At AWS End User Computing (EUC) Innovation Day 2022, you’ll learn how your organization can rearchitect its technology stack to strengthen security and reduce costs while enabling your employees to work from anywhere.
This event is ideal for anyone eager to learn more about:
How to securely modernize your desktop and application delivery solutions to support a hybrid workforce
How Amazon WorkSpaces, Amazon WorkSpaces Web, and Amazon AppStream 2.0 improve IT agility while keeping costs low
How AWS End User Computing and AWS Partners provide tools that encourage employee innovation and increase productivity
• Eric Cyffka, EC2 Windows Migration & Modernization Programs Manager, AWS
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
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Track4 Session 1
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Track5 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
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.
Featured Speakers
Michael I. Jordan, Professor, University of California, Berkeley
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence. Jordan was elected a member of the National Academy of Engineering in 2010 for contributions to the foundations and applications of machine learning. He is one of the leading figures in machine learning, and in 2016 Science Magazine reported him as the World's Most Influential Computer Scientist.
Dr. Bratin Saha, Vice President of Machine Learning and AI Services, AWS
Dr. Bratin Saha, a graduate of Harvard Business School and Yale University, has a proven track record of delivering innovative products and growing some of the world's largest technology companies including Intel, NVIDIA, and Amazon. He has developed product innovations, including those that have won CES Innovation Awards, been awarded over 100 patents, and published 30+ research papers in journals and international conferences.
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&