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Join us in this Code Talk to explore how to leverage AWS Serverless services to automate AWS networking operations across multiple AWS accounts. In this session, we will showcase AWS Cloud WAN to walk through building a global network using policy-as-code. Learn how to automate the connection and validation of VPCs and hybrid environments, while ensuring architecture security and standards are met without any manual intervention.

In the final part 3 video of the series, we shift focus to model inference on the same HyperPod EKS cluster. Discover how the HyperPod Inference Operator simplifies deploying over 400 open-weights foundation models with one-click deployment from JumpStart, S3, or FSx for Lustre, built-in autoscaling using CloudWatch and Prometheus metrics, and deep observability through Grafana dashboards.

💡 What if everyone on your team could query your knowledge graph—in plain English? A #KnowledgeGraph is valuable because relational data alone can't capture the connections your AI needs. But querying them means writing openCypher or SPARQL—& when you ask an LLM to generate those queries for you, it hallucinates syntax more often than it gets it right.

This demo showcases how AWS combines IoT, edge AI, generative AI and agentic orchestration to transform how equipment manufacturers monitor, diagnose, and service their products and customers. It's designed to inspire what's possible with today's technologies and help machine builders tackle their biggest challenges: closing workforce and skills gaps, scaling service operations while minimizing unplanned downtime and reducing mean-time-to-repair.

Amazon Neptune Performance Optimization: A Technical Guide This technical walkthrough demonstrates practical approaches to optimizing Amazon Neptune database clusters, focusing on key architectural components and operational efficiency. Key Topics Covered: • Buffer cache configuration and management • Worker thread optimization for improved parallel processing • Cluster scaling strategies for varying workloads • Critical CloudWatch metrics for performance monitoring The video examines common...

Join host Kandyce Bohannon and guest Fathima Kamal, Storage Specialist SA, as they explore the cutting edge of vector-driven AI applications. Fresh from her re:Invent builder session, Fathima demonstrates how to architect scalable AI solutions by combining Amazon S3 Vectors' cost-optimized storage with Amazon Bedrock's multimodal embedding models.

Agentic AI is no longer hype — it’s the next battleground for growth. Winning means the ability to create autonomous, goal-oriented systems and wield data effectively. Companies that execute will outpace the competition; those that don’t will be left behind explaining why they hesitated ... if they’re around at all.

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.

Labcorp processes hundreds of millions of tests each year—requiring a scalable, intelligent approach to managing healthcare data. With AWS HealthLake, Labcorp unified complex data sources to generate deeper insights and support clinical decision-making. Together, Labcorp and AWS developed Test Finder, a generative AI tool that helps physicians quickly identify the right lab tests for their patients.

The SAP landscape is changing—with customers not just asking “How can you help us migrate and run our SAP applications in the cloud?”, but instead: “How can you help us transform our business and better serve our customers?”. Join this session to learn how Hyundai Motors group is combining SAP modernization with Amazon's extensive portfolio to revolutionize customer experiences.

What if your AI could read every legal document in your case — and help you prepare for court? In this live demo, Maximilian Czernon (Senior Solutions Architect, AWS) and Manuel Naujoks (Tech Lead, stp.one) show how agentic AI is transforming legal document management using the Model Context Protocol (MCP).

Most data lakes are full of insights — but the most important relationships are invisible to SQL. Learn how to uncover hidden patterns in your S3 data lake using graph analytics — no ETL required. If you’ve ever felt like: - Your SQL queries return rows, but not insight - Important connections across datasets are hard (or impossible) to detect - Your data lake isn’t actually helping your AI or ML workloads …this session is for you.