Second Floor

As the internet evolves with new clients, protocols, and threats, leveraging global edge infrastructure has become critical for delivering exceptional user experiences. In this session, you’ll learn how to incorporate AWS Edge networking services as foundational components within modern web architectures and how AWS is positioning its infrastructure to meet tomorrow’s challenges.

Getting started in AWS is easy. Except it’s not. Choices made in the first few hours of setting up your account can lead to significant risk, complexity. and work later on. Avoid the misery and regrets of those who have gone before you and set up your new environment with a few quick and simple tips. These will position you to scale from startup to enterprise with minimal fuss, allowing you to focus on building your product and growing your business.

AI and machine learning are evolving fast—businesses can’t afford to spend months building platforms from scratch while competitors surge ahead. But guess what? Putting together a robust, scalable AI/ML platform is easier than it sounds if you have a clear maturity plan and leverage the right tools. From serverless solutions like SageMaker, and Databricks to custom setups pieced together with a few well-chosen services, there’s a world of possibilities waiting for you.

Building secure applications, although required, is not a trivial task: understanding different authentication flows, token storage and lifecycle management, designing permissions models (RBAC, ABAC), etc. which is not only complex to design and build but also does not directly add any business value to your applications.

Besides, as systems grow the complexity of managing authentication and authorization across multiple users, services, and devices further increases. Scalability and maintainability become a concern, requiring thoughtful design and implementation.

Getting started in AWS is easy. Except it’s not. Choices made in the first few hours of setting up your account can lead to significant risk, complexity. and work later on. Avoid the misery and regrets of those who have gone before you and set up your new environment with a few quick and simple tips. These will position you to scale from startup to enterprise with minimal fuss, allowing you to focus on building your product and growing your business.

In this talk, Martin walks through he designed, built, and operates their Property Listings MCP to power a seamless AI chat interface for finding and creating listings.

Attendees will see how MCP lets an LLM safely call backend tools—like listing search, enrichment, and publishing—while keeping system context tight and auditable.

You’ll leave with a practical template for standing up your own MCP server, wiring it to a chat client, and hardening it for production.