AWS Summit New York City

The cloud event for everyone!

You’re invited to be part of our free, in-person event that brings together cloud enthusiasts for a day of learning, networking, and collaboration. Attend keynotes, breakout content, and interactive labs led by AWS experts, partners, and customers - and network with other industry professionals about the latest cloud computing technologies.

Why you need to attend AWS Summit New York:

AWS Summit is the perfect place to network with other cloud professionals, and relax and have fun discovering new ways to innovate.
Explore our Expo for the latest cloud computing products and technologies from our sponsoring partners to help achieve your business goals.
Learn and have fun at GameDay, a gamified learning event that challenges participants to use AWS solutions to solve real-world technical problems in a risk-free setting.

At this year’s Summit, we’re offering over 115 sessions covering a wide range of topics and technical depth, so you’re sure to find something relevant to your interests and skill level. Hear directly from AWS experts, builders, customers, and partners – all sharing their insights on AI and machine learning, analytics, database, EC2 compute, storage, DevOps & developer productivity, serverless, and much more.

Explore AWS Summit New York agenda and sessions »

Speaker and Presenter Information

Swami Sivasubramanian, VP of Databases, Analytics, and ML at AWS

Swami Sivasubramanian is the Vice President for Databases, Analytics, and AI & Machine Learning Services at AWS. His team’s mission is to put the power of databases, analytics, and machine learning capabilities in the hands ofevery business, including developers, data scientists, and business users. Swami and his team innovate across multipleareas, from databases (e.g., Amazon RDS, Aurora to NoSQL databases like DynamoDB, ElastiCache, MemoryDB andNeptune), 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 withAmazon Connect), Financial services (e.g., FinSpace, Amazon Managed Blockchain), and Enterprise Search (Kendra).