AWS re:Invent Home
Learn
Keynotes
Innovation talks
AWS Certifications
Session readiness
Topics
Event Catalog
Experience
Expo
Community
All Builders Welcome
Sports Forum
re:Play
Plan
Plan your trip
Agenda
FAQs
Accessibility services
Professional Focus
Build & develop
Strategy & leadership
Sponsors
Register now Log in
Secondary hero image

Innovation talks

Innovation talks are where AWS experts weigh in on essential topics such as data for generative AI, cloud operations, network and content delivery, and emerging tech. We’ll be adding more innovation talks in the coming months, so keep checking this page as we get closer to AWS re:Invent.

Speakers

Deep dives hosted by AWS thought leaders

  • Ben-Cabanas

    Architecture

    Ben Cabanas
    WW Director, Technology, AWS Global Sales
     

    Dive deep into architectural best practices and patterns. Learn to leverage generative AI tooling for faster application design. And discover how AWS customers optimize cloud architecture to save costs and increase performance.

  • Nandini-Ramani

    Cloud operations

    Nandini Ramani
    Vice President, Monitoring and Observability, AWS
     

    Explore how AWS is innovating with generative AI to deliver a seamless and productive experience and help improve governance, security, resilience, performance, and efficiency. Plus learn how you can improve the resilience and performance of your workloads and applications on AWS and in multicloud and hybrid environments.

  • David-Brown

    Containers, instances & serverless compute

    David Brown
    Vice President, (Amazon EC2), AWS
     

    Discover how you can run any application on AWS, including enterprise applications, HPC, generative AI, containers, databases, and games. Learn how AWS has met customer demands through silicon innovation, new service introductions, and cost optimization. And explore how customers have used AWS compute technology to innovate their businesses.

  • mai-lan-tomsen-bukovec

    Data for generative AI

    Mai-Lan Tomsen Bukovec
    Vice President, Technology (Storage, Streaming, Messaging, and Cloud Migration), AWS
     

    Find out how enterprise organizations are using existing datasets on AWS for pre-training and fine-tuning generative AI models. Learn the key questions that organizations face when they use data in generative AI applications. And discover how AWS customers are putting their existing datasets to work for generative AI-powered applications that are in production.

  • adam-seligman

    Developer

    Adam Seligman
    Vice President, Developer Experience, AWS
     

    Explore the AWS pioneering approach to integrating generative AI across the development lifecycle. Tap into the rich ecosystem of technical resources, networking, and knowledge-sharing opportunities offered by AWS. And discover how AWS, developers, and software teams leverage generative AI to shape the future of software development.

  • David-Brown

    Networking & content delivery

    David Brown
    Vice President, Amazon Elastic Compute Cloud (Amazon EC2), AWS
     

    Explore new AWS content delivery features and capabilities. Hear from AWS customers who are using networking services to run any workload. Plus learn how AWS is always working to improve the performance, security, and reliability of its network.

AI/ML

Dr. Bratin Saha
Vice President of AI & ML

Dr. Bratin Saha leads the ML and AI services at AWS, where he helped build one of the fastest-growing businesses in the company’s history. The growth was so remarkable that in 2022, Harvard Business School wrote three case studies that documented his work. He is an alumnus of Harvard Business School (General Management Program), Yale University (PhD in computer science), and Indian Institute of Technology (BS in computer science). He has more than 70 patents granted (with another 50+ pending) and more than 30 papers in conferences/journals. Prior to landing at Amazon, he worked at NVIDIA and Intel, leading different product groups that spanned imaging, analytics, media processing, high performance computing, ML, and software infrastructure.

Related sessions

AIM337 | Using AWS tools to manage foundation models (FMs) at scale

AIM335 | Train and tune state-of-the-art ML models on Amazon SageMaker

AIM336 | Use RAG to improve responses in generative AI applications

 

 

 

 

re:Invent logo

Stay up to date with re:Invent

Thank you for subscribing to re:Invent updates.

Follow AWS on social media

Learn about AWS

What is AWS? AWS blog AWS Merch Store

Resources

FAQs Plan your trip Justify your trip Sponsors

Help

Contact us Accessibility services Code of conduct Terms & conditions

Privacy • Site Terms • Cookie Preferences • © 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.