Explore tracks designed for your business needs
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.
The Gen AI Journey 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 to 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.
Building and Scaling with Gen AI for Technical Decision Makers and Developers
This track provides deep technical insights and practical guidance for building production-ready generative AI applications. Through detailed technical sessions, you'll explore advanced topics like multi-agent architectures, automated reasoning for responsible AI, efficient model selection, and scalable retrieval-augmented generation (RAG) implementations. Learn how to leverage Amazon Bedrock's comprehensive suite of tools and features to build secure, cost-effective, and high-performing AI solutions that drive real business value. This track will equip technical teams with the knowledge and best practices needed to successfully architect and deploy enterprise-grade generative AI applications.
Using Gen AI in the Workplace for Business Decision Makers, Technical Decision Makers, and Developers
Discover practical applications of generative AI tools that are transforming everyday workplace operations and productivity. Through comprehensive sessions, learn how Amazon Q's suite of solutions - including Q Business, Q Developer, and Q in QuickSight, can revolutionize enterprise workflows, software development, and business intelligence. This track offers insights into successful deployment strategies and best practices for maximizing the value of generative AI across your organization.
Build and Train Foundation Models and LLMs for Machine Learning Engineers and 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's comprehensive landscape enables efficient model development with features like 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 SageMaker Studio's integrated development environment, from initial experimentation to production deployment.
Building a Data Foundation and Unified Experience for Your Data and AI for Technical Decision Makers
Building a Data Foundation
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.
Unified Experience for Your Data and AI
In this track, you will learn how to empower your data personas 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 a unified experience that brings together AWS analytics and AI services. Master techniques for seamless data integration across sources with end-to-end governance of data and AI models built into the experience. You'll gain practical knowledge to build a future-ready analytics environment that enables faster analytics and AI development, reduces operational complexity, and drives more value from your data assets.
Tailored tracks for your organization
Accelerate your journey: whether you’re building, growing, or transforming
Keynote speaker
Join Rahul Pathak, VP, Data & AI 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.
Featured speakers
Hear from the ones who have been there and done that.
Mindy Ferguson
Mindy Ferguson joined Amazon in July 2022 and currently serves as VP, AWS Streaming and Messaging. She is responsible for the portfolio of AWS Streaming and Messaging services, including Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Prior to Amazon, Mindy has held numerous leadership roles spanning from startups to Fortune 100 companies.
Leonardo Gomez
Leonardo Gomez is a Principal Analytics Specialist Solutions Architect at AWS, focusing on data governance and generative AI. He has over a decade of experience in cloud computing and analytics, helping organizations implement secure, scalable solutions. Leonardo is dedicated to enabling businesses to unlock the value of their data while ensuring compliance and innovation.
Mani Khanuja
Mani Khanuja is a Tech Lead - Generative AI Specialist, author of the book Applied Machine Learning and High-Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC.
Mark Roy
Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build generative AI solutions. His focus since early 2023 has been leading solution architecture efforts for the launch of Amazon Bedrock, AWS’ flagship generative AI offering for builders. Mark’s work covers a wide range of use cases, with a primary interest in generative AI, agents, and scaling ML across the enterprise. He has helped companies in insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing. Prior to joining AWS, Mark was an architect, developer, and technology leader for over 25 years, including 19 years in financial services. Mark holds six AWS certifications, including the ML Specialty Certification.
Featured AWS Partners
Choose AWS through Cloud on Demand to unlock your organization's full potential. Scale seamlessly as your operations grow, leverage cutting-edge technology, and ensure top-tier security compliance. Plus, harness AWS’ powerful AI and analytics capabilities to transform both Commercial and Public Sector operations.
Ingram Micro enables businesses to maximize their AWS investment by offering expert cloud services, technical support, and tailored solutions to drive success. Together with AWS, Ingram Micro empowers companies to innovate, scale, and achieve their digital transformation goals efficiently and effectively.
Redington is a $10.8 billion leading technology aggregator and distributor across 38+ markets, ranked 7th globally. With a robust network of 40,000+ channel partners, it ensures seamless distribution of IT, telecom, lifestyle, and solar products. As an AWS consulting distributor, Redington adopts a unified AWS strategy, enabling partners' cloud journeys in the Middle East and Africa, exemplified by three AWS Partner Awards.
TD SYNNEX (NYSE: SNX) is a leading global IT distributor and solutions provider, partnering with 150,000+ customers across 100+ countries. Our 23,000 employees unite offerings from 2,500+ vendors, spanning cloud, cybersecurity, big data/analytics, AI, IoT, mobility, and everything as a service, to maximize technology investments and drive business growth.
