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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.

Autodesk is on a mission to empower everyone, everywhere to create solutions to challenges big and small. In this Tiny Mic Q&A, Pat Hughes, who leads resilience initiatives at Autodesk, shares how AWS supports their Trust Organization's mission across security, privacy, trusted AI, and resilience.

Learn how to use Amazon API Gateway dynamic routing rules for custom domain names. Giedrius Praspaliauskas and Anton Aleksandrov join Giuseppe Battista to show the new functionality See how you can route API requests based on HTTP header values, either independently or in combination with URL paths. Discover how to implement routing strategies such as API versioning and gradual rollouts without modifying your API endpoints.

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.

Discover how Amazon's Mexico Supply Chain team transformed operations with Amazon Quick's agentic capabilities, reducing manual work from 15-20 hours weekly to just minutes. By automating workflows with Quick Flows, tailoring Quick spaces for each team and integrating it with Sharepoint, and creating custom chat agents, teams were able to free up time to focus on brainstorming and innovation.

CNTXT AI, the first dedicated AI lab of its kind in the region, helps organizations build scalable, production-ready infrastructure and ensure data readiness for artificial intelligence. By partnering with Amazon Web Services (AWS), CNTXT AI has developed a flexible and efficient foundation for deploying AI models at speed.

Learn best practices from AWS and Block's Network Security team on how to architect a robust network security strategy using AWS Network Firewall, AWS WAF and other security services to protect large-scale infrastructure. This session explores real implementation patterns to protect egress and ingress, covers architectural decisions, and lessons learned while building advanced security controls. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Every company claims to be "AI-first" now. Most of them gave their teams access to AI tools and assumed adoption would follow. The real question isn't whether your team uses AI, it's whether your organization was designed for it, whether the culture rewards it, and whether leadership is willing to rethink what productivity even means when every individual has a force multiplier on their desktop.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: [https://repost.aws/knowledge-center/api-gateway-alb-integration] The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

CSL is a global biotechnology company specializing in lifesaving medicines that treat hemophilia and immune deficiencies, prevent influenza, and therapies in iron deficiency and nephrology. CSL had multiple disparate technology stacks due to acquisitions, operating 5000+ VMware servers and managing 1000+ applications spread across 29 data centers.

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).

Slack achieved 99% AI adoption by moving from experimentation to production-scale developer tools on Amazon Bedrock. Discover their journey deploying Claude Code and Cursor for accelerated development workflows, then building multi-agent systems with Strands Agents to automate escalation resolution at scale. Learn how Bedrock's Knowledge Bases and Guardrails enabled secure, governed AI deployment while custom MCP servers integrated internal tooling.