Computer vision at scale: Driving customer innovation and industry adoption

Dr. Swami Sivasubramanian is the Vice President of AI & Data at AWS. In this role, Swami oversees all AWS AI and Data Services. His team’s mission is to help organizations leverage the power of AI and data to solve their most urgent business needs. Swami and his team innovate across multiple areas of the AI and data stack. Swami’s team works across three layers of the AI stack, including: (1) Amazon SageMaker and optimized deep learning frameworks/engines in the bottom layer of the stack (which is for developers and companies wanting to build foundation models (FMs); (2) Amazon Bedrock, which forms the middle layer of the stack, is for customers seeking to leverage an existing foundational model, customize it with their own data, and get access to features like RAG, Guardrails, etc., to build a GenAI application — all as a managed service. Amazon Bedrock, the first managed service of its kind, provides customers with the easiest way to build and scale GenAI applications with the broadest selection of first-party and third-party FMs, as well as leading ease-of-use capabilities that allow GenAI builders to get higher quality model outputs more quickly; (3) In the top layer of the stack, we have GenAI applications, with Amazon Q being the primary application to call out. Amazon Q, is an expert on AWS that writes, debugs, tests, and implements code, while also doing transformations (like moving from an old version of Java to a new one), and querying customers’ various data repositories (e.g. Intranets, wikis, Salesforce, Amazon S3, ServiceNow, Slack, Atlassian, etc.) to answer questions, summarize data, carry on coherent conversation, and take action. Q is the most capable work assistant available today and continues to evolve quickly. Most AI applications heavily rely on data, so Swami also leads teams focused on helping customers with data preparation (EMR, Glue), data catalog and governance (Amazon DataZone) and BI/analytics (with Amazon QuickSight). Since joining Amazon in 2005, Swami has also led the AWS Analytics and Databases portfolio, plus helped to build AWS services including Amazon S3, Amazon CloudFront, Amazon RDS, and Amazon DynamoDB. In September 2023, Swami joined the Amazon senior leadership team, or Steam. Swami has been awarded more than 250 patents, authored 40 referred scientific papers and journals, and participates in several academic circles and conferences. Swami is also a member of the National Artificial Intelligence Advisory Committee, which is tasked with advising the President of the United States and the National AI Initiative Office on topics related to the National AI Initiative.