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AWS Summit San Francisco

Join us in person April 20 – 21

This year at AWS Summit San Francisco, you'll discover how AWS can help you innovate quickly and deliver flexible, reliable solutions at scale. Register now and join us in person for the two-day Summit, to hear the latest from AWS leaders, learn new skills, and network with your industry peers.
 
 

Event highlights

150+ Sessions

Hear the latest updates from AWS experts, builders, customers, and partners.

Interactive content

Come prepared with your laptop and a willingness to learn.

Ask the Expert

Visit Ask the Expert to meet with AWS technical experts.

DeepRacer League

Race for prizes, glory, and a chance to advance to the AWS DeepRacer Championship Cup at re:Invent.

AWS Training and Certification

Get equipped with the knowledge it takes to move your company and career forward.

 
 
AI/ML

AI/ML

Analytics

Analytics

Business Intelligence

Business Intelligence

Databases

Databases

EC2 Compute

EC2 Compute

Front-end Web and Mobile

Front-end Web and Mobile

IoT

IoT

Modern App – Containers & Serverless

Modern Applications – Containers & Serverless

Networking & Global Infrastructure

Networking & Global Infrastructure

Storage

Storage

 
 

Keynote speaker

Swami Sivasubramanian, Vice President of Data, Analytics, and Machine Learning Services, Amazon Web Services

Join Swami Sivasubramanian, Vice President of Data, Analytics, and Machine Learning Services, Amazon Web Services, as he shares how customers in the Americas and across the globe are using AWS to transform their businesses. In this 90-minute keynote, Swami will discuss exciting innovations that make AWS the best place to run your applications, while also making better, faster decisions with your data. 
 
AWS is delivering and developing the next generation of cloud infrastructure. We will discuss how AWS provides the best price performance and features. We'll also share exciting customer stories that highlight the flexibility of AWS to run any application. 
 
In this keynote you will learn how you can harness the power of the data in your organization, and put it to work to gain business advantage.

Can't join in person?

The keynote will also be available via livestream at 9:00AM – 10:30AM on April 21, 2022. Please note that breakout sessions and other general sessions will only be available in-person.

 
 
Garrett Miller

Garrett Miller

General Manager
Navigation
Mapbox

Murali Krishnaprasad

Murali Krishnaprasad

Executive Vice President
Engineering
Salesforce

Agenda

Day One | Wednesday, April 20, 2022

What to expect

Discover how AWS can help you innovate quickly and deliver flexible, reliable solutions at scale.

Who should attend

Day One is perfect for those new to their cloud computing journey who want to ‘rethink’ what’s possible with cloud technology and how it can accelerate business outcomes.
Explore Day One agenda and sessions »  Download Day One Agenda at a Glance

Schedule

7:30AM PDT: Registration open
7:30AM – 9:00AM PDT: Breakfast at Expo
 7:30AM – 5:30PM PDT: Expo & activities
9:00AM – 4:45PM PDT: Sessions
9:00AM – 5:00PM PDT: Interactive content
4:30PM – 5:30PM PDT: Networking reception 

Day Two | Thursday, April 21, 2022

What to expect

Come develop the skills needed to build, deploy, and operate your infrastructure and applications. Join us to connect, collaborate, and deep dive into the cloud computing technology with a variety of breakout sessions and interactive content.

Who should attend

Day Two is ideal for technologists already running workloads on AWS.

Explore Day Two agenda and sessions »  Download Day Two Agenda at a Glance

Schedule

7:00AM PDT: Registration open
7:00AM – 9:00AM PDT: Breakfast at expo
7:00AM – 4:00PM PDT: Expo & activities
9:00AM – 10:30AM PDT: Keynote
 11:30AM – 5:00PM PDT: Sessions
11:30AM – 5:30PM PDT: Interactive content

* Space is limited. To ensure the best attendee experience possible, access to the event or specific event activities such as keynote, breakout sessions, labs, meals, receptions, and lounges may be limited due to capacity restrictions.

Explore the full summit schedule
 Download Agenda at a Glance
 
 

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Swami Sivasubramanian
Vice President, Data, Analytics, and Machine Learning at Amazon Web Services

Swami Sivasubramanian is Vice President of Data, Analytics, and Machine Learning at Amazon Web Services. His team’s mission is to put the power of databases, analytics, and machine learning capabilities in the hands of every business, including developers, data scientists, and business users. Swami and his team innovate across multiple areas, from databases (e.g., Amazon RDS, Aurora to NoSQL databases like DynamoDB, ElastiCache, MemoryDB and Neptune), to analytics (e.g., Redshift, EMR, Athena, QuickSight, Lakeformation, Glue, OpenSearch), to machine learning (e.g., frameworks and infrastructure, Amazon SageMaker) and AI services (e.g., Transcribe, Translate, Textract, Rekognition, Personalize). His team also works to deliver needle-moving capabilities in data and ML for specific verticals, use cases, and initiatives like Health AI (e.g., HealthLake, Comprehend Medical, Transcribe Medical), Industrial (e.g., Lookout for Equipment, Lookout for Metrics, Lookout for Vision, Panorama), Contact Center AI (e.g., Contact Lens with Amazon Connect), Financial services (e.g., FinSpace, Amazon Managed Blockchain), and Enterprise Search (Kendra).

Previously, Swami managed AWS’s NoSQL and big data services. He managed the engineering, product management, and operations for AWS database services that are the foundational building blocks for AWS: DynamoDB, Amazon ElastiCache (in-memory engines), Amazon SNS, and Amazon QuickSight (to name a few). Swami has also been part of the teams that built different parts of AWS services including Amazon S3, Amazon CloudFront, Amazon RDS, Amazon SQS - Amazon's Paxos based consensus service, etc. Swami has been awarded more than 250 patents, has authored 40 referred scientific papers and journals, and participates in several academic circles and conferences.

Swami enjoys spending time with his family (wife, 6-year-old daughter, and puppy), hiking around the Pacific Northwest, and various other outdoor activities. Personally, he enjoys reading nonfiction books and research articles on machine learning, distributed systems, and other major computing areas.