Houssam Hamad

For manufacturers, delivery of product components or ingredients is critical to meet production schedules. Learn how to mitigate supply chain disruptions with AI-driven analysis to process data from disparate sources dynamically, enabling real-time adjustments to the production plan with agentic workflows.

Generative AI applications need data from diverse data sources and, for an optimal experience, require the data to be reliable, trustworthy, and well-governed. Join this hands-on workshop to explore a robust data foundation on AWS for an end-to-end generative AI experience.

Generative AI applications are powered by foundation models or large language models that are trained on large volumes of data. They have several emerging data patterns including in-context learning, model fine-tuning, and build your own model.

Real-time energy industry operational data is notoriously challenging to unlock—a task complicated by disparate equipment, sensors, device protocols, remote site latency, and the challenge of data silos. Join this chalk talk to learn how AWS can help you process, store, and analyze your IoT data to develop insights and innovations that enable optimization.