Whether you’re drafting your fantasy football team or betting on the next MLB game, “”DraftKings is building the world’s best online gaming solutions,”” says Zach Maybury, CTO. DraftKings set up with AWS Local Zones, Maybury explains, which has reduced new state infrastructure deployment from weeks to days while achieving 25% P95 latency improvements across millions of monthly customer touchpoints. “”These are millions of customer touchpoints that are improved with AWS,”” says Maybury, “”and being able to move quickly is a huge competitive advantage.”” Watch to learn more.

Sebastian Goodwin, Chief Trust Officer, and Ritesh Bansal, Head of Agentic AI and AI Infrastructure at Autodesk, are transforming their organization’s design, construction, and manufacturing workflows through generative AI and agentic platforms. In this conversation, Goodwin and Bansal explore how Autodesk leverages AWS services including Amazon Bedrock, EKS, DynamoDB, OpenSearch, and Apache Iceberg to power their Autodesk Assistant—an agentic AI platform that enables natural language interactions across Autodesk’s product suite, reduces manual work from hours to minutes, and allows architects, engineers, and designers to focus on creativity.

Siemens Mobility, a 175-year-old railway technology leader managing a €52 billion project backlog, faced a critical challenge: decades of legacy systems across rolling stock, signaling, and infrastructure generated massive volumes of unstructured, unlabeled data that engineers couldn’t efficiently access or use. “We wanted to transform unstructured data into quick, reliable insights that our engineers and employees can use to create benefit for our customers,” says Sara Elkady, SVP Strategy, Digitalization, & Technology for Siemens Mobility. Together with AWS, Siemens Mobility built the Smart Text Hub (STH)—a data system powered by Amazon Bedrock, Amazon S3, and AWS Lambda. Reimaging a process that once took hours, the company’s 40,000 employees now extract insights from complex tender documents in a matter of seconds. Watch to hear more about how Elkady and her team achieved their data-driven vision.

Learn how to use the AWS Data Transfer Terminal—a secure, physical location designed to enable high-speed data transfers directly to AWS for workloads with large data sets; uploading IoT data from remote industrial, agricultural, or research sites; or transferring high-resolution audio and video files for post-production media processing. In this video, we’ll guide you through what to bring, how to prepare, and how to upload your data most efficiently once you’re at the terminal. Watch to learn more.

How should your security practice adjust to handle the increasing volume of solutions your builders are creating with the help of AI What should you do as threat actors leverage the very same tooling to reduce the cost of their attacks Join AWS VP CISO Amy Herzog as she explores the answer to these questions Youll learn about the architectural choices and technical tradeoffs you will face as you adapt how you approach security in your business Using real world examples Amy will share the strategies you need to implement AI powered automated protections at scale in your environment.

An unparalleled level of interest in generative AI and agentic AI is driving organizations to rethink their data strategy. While there is a need for data foundation constructs such as data pipelines, data architectures, data stores and data governance to evolve, there are business elements that need to stay constant like cost-efficiency and effectively collaborating across data estates. In this session, we will cover how building your data foundation on AWS provides the tools and the building blocks to balance both needs and empower organizations to grow their data strategy for building AI-ready applications.

Many teams move fast with agentic AI prototypes that impress in demos but stall in production blocked by gaps in reliability accuracy and safety In this session AWS agentic AI technical leaders will help builders rethink how to build and scale production grade trustworthy agentic AI Learn proven patterns to build and deploy agents that earn trust in the real world See AWS agentic AI platform Amazon Bedrock AgentCore in action Discover how AWS customers move fast from sparks of experiment to scaled AI driven innovation with trust at the core transforming industries.

Arvind Matur delivered a session exploring Agentic AI through the lens of value realization, focusing on how open, interoperable architectures and democratized access to trusted data unlock speed, productivity, and innovation.

This panel brought together visionary AI startup founders who architected their companies from day one with AI at their core. They explored how they’re designing autonomous AI systems that execute complex workflows, scaling from proof-of-concept to production-ready solutions enterprises trust and leveraging proprietary data to create competitive advantages.

Mike Diamond delivered a session on exploring practical approaches for building more trustworthy and reliable AI agents.