Laith Al-Saadoon

This session explores the evolution from generic AI coding assistants to AWS-intelligent development tools through the Model Context Protocol (MCP). Attendees will learn how MCP transforms AI assistants by injecting AWS-specific context, best practices, and service knowledge directly into development workflows.

Many production AI applications require specialized agents working together: from agentic RAG systems that iteratively refine searches to enterprise workflows that decompose complex tasks.

In this workshop, we explore the new AWS Predictive Maintenance Using Machine Learning solution. This solution deploys a machine learning model and an example dataset of turbofan degradation simulation data to train the model to recognize potential equipment failures.

Although this Global Partner Summit workshop is open to anyone, it is geared toward current and potential AWS Partner Network Partners. In this workshop, use computer vision and machine learning to build an AI to play blackjack.

Across a wide spectrum of industries, customers are starting to utilize prediction maintenance models to proactively fix problems before they impact production. The result is an optimized supply chain and improved working conditions.

In this chalk talk, we deep dive into Fugro’s initiative to accelerate identifying boulders on the ocean floor, a first step in establishing offshore infrastructure. We also discuss the team’s use of Amazon SageMaker and Amazon SageMaker batch transform for Mask R-CNN instance segmentation training and inference.