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BMW Group revolutionizes the automotive industry with Neue Klasse vehicle line, delivering a new vision for electric, digital, and circular mobility. AI-powered features and an intelligent personal assistant built on AWS infrastructure enhance the driving experience while maintaining top-tier data security and privacy.

Want to create your own video game? Learn how to start game development from former game dev turned AWS Developer Advocate Matheus. Get practical tips on game engines, tools, and transitioning from web/enterprise development to gaming. 👇 Previous episodes available on Builder Center 👇 https://developers.podcast.go-aws.com/web/index.html?trk=651739b0-eed6-44ac-91fa-b5bf12518768&sc_channel=sm Resources: 👾 Godot Game Engine: https://godotengine.org/ 🌐 AWS Game Tech: https://aws.amazon.

Before deploying physical AI systems, rigorous testing in simulation is critical. Discover how NVIDIA Omniverse and Isaac Sim on AWS enable photorealistic simulation environments for robotics development and validation. Learn to build digital twins, simulate complex scenarios, and validate AI models in virtual environments before real-world deployment.

This session explores practical architectural patterns for deploying and scaling large language models (LLMs) in production environments. We'll walk through a comprehensive journey from initial testing to production deployment, covering essential steps including model evaluation with vLLM, performance benchmarking, and optimization techniques.

Learn how Amazon Bio Discovery accelerated antibody research in partnership with Memorial Sloan Kettering Cancer Center. Targeting a rare pediatric cancer, nearly 300,000 novel antibody molecules were designed using AI agents to orchestrate multiple biological AI models, with the top 100,000 candidates sent for wet lab testing. What typically takes up to a year using traditional design methods took weeks from designing the candidates to sending them to lab testing.

CloudWatch Network Synthetic Monitor provides proactive, active monitoring of hybrid network performance, including packet loss and round-trip latency, for traffic between your Amazon VPC and any configured destination IP address, whether on-premises, third-party cloud, or beyond.

FinOps has evolved from visibility to optimization and now to action. As AI workloads introduce new cost complexities, organizations can no longer afford analysis paralysis or endless dashboards. It is time for FinOps 3.0: a shift where cost intelligence is embedded directly into engineering workflows, insights are contextual and role specific, and automation becomes a trusted ally rather than a leap of faith.

This video walks you through enabling multi-Region replication for your IAM Identity Center instance. You'll learn how to add a Region to automatically replicate your workforce identities, configure your external identity provider (IdP) to enable access through that Region, and deploy AWS managed applications closer to your users. You will also get a deep dive of the KMS key policy that is a mandate for enabling multi-region feature. Learn more at: https://go.

Accelerate your incident investigations with AWS DevOps Agent. Improve telemetry context by integrating Datadog as an observability tool to AWS DevOps Agent to find and remediate root cause of the issue. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.

This session demonstrates how to leverage Amazon CloudWatch's comprehensive observability capabilities for both traditional applications and generative AI workloads. Customers building generative AI-powered workloads face challenges in understanding end-user outcomes, AI performance, health, accuracy, and quality issues at scale.

Sales representatives typically spend a lot of time gathering data across applications when planning account strategies or pitches for their customer meetings. Quick can help create better account plans, understand customer issues, tailor solutions pitches, and more.

The agentic shift is reshaping how teams build software—and AWS Autonomous Coding Agents are designed to help developers move faster, not work harder. These agents assist with structured tasks like scaffolding, test generation, and documentation, freeing up engineers to focus on design and intent. In this session, we’ll go beyond the launch and explore what it means to build agent-native workflows within existing teams.