Innovate Generative AI + Data logo
March 13, 2025 9:00 AM - 2:00 PM PT | 12:00 PM - 5:00 PM ET

Built for breakthroughs

Join us at Innovate, a free virtual event, to discover how AWS can help you harness the full potential of generative AI and data.

Explore six learning tracks designed for you

From technical deep dives for builders to strategic sessions for business leaders, this event equips you with the inspiration and skills to navigate the world of generative AI and data on AWS.

  • For business decision makers

    Generative AI opportunities come from all across an organization. Line of business owners and job functions often surface the most salient business needs and use cases that could benefit from generative AI, and often partner with IT to evaluate, select, integrate, and implement new projects. This track will act as a guide for leaders from across organizations through each step of the generative AI journey, from idea inception through production. The sessions within this track will cover a wide array of topics throughout the process to help break down each step and how they should approach the decisions they will face as leaders.

  • For technical decision makers and developers

    Explore the cutting-edge capabilities of Amazon Bedrock for building and scaling advanced generative AI applications. This track showcases the latest innovations in multi-agent systems, automated reasoning for enhanced AI safety, scalable Retrieval Augmented Generation (RAG), and efficient model selection. Learn how to leverage Amazon Bedrock’s new features to create more accurate, secure, and cost-effective AI solutions. From multi-agent collaboration to automated reasoning checks, discover how Amazon Bedrock is pushing the boundaries of generative AI, enabling you to build sophisticated, responsible, and scalable AI applications that drive business value.

  • For business decision makers, technical decision makers, and developers

    In this track, builders and leaders will learn how businesses of all sizes and across all industries are unlocking the transformational value of Amazon Q. The sessions will feature the latest innovations in the Amazon Q product lineup, helping every employee be more productive from code development to end-customer interactions. Attendees will learn how to get started with generative AI in their roles, how to automate the undifferentiated tasks, and learn how to make generative AI securely accessible to everyone in your organization.

  • For technical decision makers

    In this track, you will learn how to transform your organization's data with the next-generation Amazon SageMaker – your center for all data, analytics, and AI workloads. Discover how to break down data silos, optimize storage, and accelerate query performance with modern data architectures. Master techniques for seamless data integration across sources while maintaining enterprise-grade governance and security. You’ll gain practical knowledge to build a future-ready analytics environment that enables faster AI development, reduces operational complexity, and drives more value from your data assets.

  • For machine learning engineers & data scientists

    Master the tools and techniques for building, training, and deploying large language models and foundation models at scale. Through detailed sessions, learn how Amazon SageMaker AI’s comprehensive landscape enables efficient model development with features like Amazon SageMaker HyperPod and optimized distributed training frameworks. Explore how AWS AI chips (Trainium and Inferentia) can help overcome computational challenges while reducing costs. This track demonstrates practical approaches to accelerate AI development using Amazon SageMaker Studio, from initial experimentation to production deployment.

  • For technical decision makers

    In this track, you will learn about foundational choices that provide flexibility for employing your data across any workload. You will gain practical skills for customizing and deploying generative AI applications using data from databases, file repositories, and your data lake. You will discover the power of metadata-driven data management with Amazon S3 Metadata and reimagine data streaming with end-to-end managed and serverless capabilities. Finally, you will learn how Amazon DynamoDB was built to overcome the performance and scale limitations of relational databases, delivering consistent single-digit millisecond performance at any scale.

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Keynote speaker

Join Rahul Pathak, VP Data & AI/ML GTM at Amazon Web Services, for an inspiring exploration of AI's transformative potential across industries. This keynote will showcase how organizations are harnessing AI and data to drive innovation and maintain competitive advantage. Through compelling customer success stories and emerging trends, discover how companies are turning groundbreaking ideas into real-world innovations and learn why AI adoption is crucial for future business transformation.

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Leadership insights

Hear from the ones who have been there and done that.

Mark Relph

Director, Data & AI Partners, AWS

In “Seven principles for effective generative AI solutions” (Level 200), Mark Relph presents essential guidelines for building cost-efficient and impactful generative AI applications. Learn how to optimize your AI investments through strategic objective setting, data curation, and architectural design. This session delivers practical insights to help organizations develop efficient, cost-effective generative AI solutions that maximize return on investment while ensuring responsible implementation.

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Mindy Ferguson

VP, AWS Messaging and Streaming, AWS

Mindy Ferguson presents “Build streaming data into your data foundation” (Level 300), offering a comprehensive look at AWS’s latest streaming data innovations. Explore how these advanced capabilities can enhance your data architecture with improved scalability and performance. This session will equip you with practical knowledge to implement robust streaming solutions for your organization’s needs.

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Mark Roy

Global Lead Solution Architect - Amazon Bedrock - GenAI, AWS

In "Leveraging multiple agents for scalable gen AI applications" (Level 300), Mark Roy shares how coordinated AI agents, enhanced with guardrails to prevent misuse, are delivering the next generation of AI-driven customer engagement. Learn how to design and deploy secure, efficient AI systems that transform customer support operations. This session provides valuable insights for organizations ready to implement advanced AI agent solutions.

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Kumar Erramilli

Kumar Erramilli

ACTO, CTO and Co-Founder

Mani Khanuja

Mani Khanuja

AWS, Tech Lead Generative AI Specialist

Erik Huckle

Erik Huckle

SailPoint, Head of Product - AI + Data

Leonardo Gomez

Leonardo Gomez

AWS, Principal Analytics Specialist Solutions Architect

Bryan Liles

Bryan Liles

AWS, Senior Principal Engineer

Stefano Buliani

Stefano Buliani

AWS, Principal Product Manager-Tech, AWS Automated Research Group

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A fully managed cloud service for AI development using Python with PyTorch templates. Eliminates infrastructure complexities, letting you focus on creating AI products for research or production.

Expert team enabling digital transformation through technical expertise and cloud partnerships. OpsGuru simplifies cloud technology, helping customers achieve goals through adoption, modernization, and security.

Specialized provider of DB migration, analytics, and AI/ML solutions. Offers document processing, contact center intelligence, MLOps, data lakes, and customized professional services.

Snorkel AI, born from Stanford's AI Lab, makes enterprise AI data development programmatic through their pioneering platform Snorkel Flow. Snorkel is used in production by Fortune 500 companies including BNY, Wayfair and Chubb, and Federal Agencies.

Session level guide

Whether you are new to AWS or an experienced user, you can learn something new at AWS Innovate. This event is designed to help you develop the right skills to create new insights, enable new efficiencies, and make more accurate decisions.

Beginner

Level 100
Sessions cover best practices, service features, and detailed demonstrations. No prior knowledge of the topic is required.

Intermediate

Level 200
Sessions cover best practices, service features, and detailed demos. Basic understanding of the topic is required.

Advanced

Level 300
Sessions provide in-depth technical coverage of topics. Some familiarity is expected, hands-on experience not required.

Expert

Level 400
Sessions target expert-level users exploring advanced AWS concepts. Content covers architectural and implementation methods.

AWS Pi Day: Data foundation for analytics and AI

To learn more about building a data foundation and creating a unified experience for your data and AI, join us at the fifth annual AWS Pi Day, a virtual event that will feature additional live demos and discussions that build on these Innovate learning tracks. Learn more about AWS Pi Day.

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