Massimiliano Angelino

Join this chalk talk to learn proven patterns and best practices for moving AI applications from proof-of-concept to production using Amazon Bedrock. We'll dive deep into architecting secure, scalable AI solutions that meet enterprise requirements.

When AI agents fail in production, how do you find out why? In this interactive chalk talk, we'll explore the observability challenges unique to agentic systems and dive into practical solutions using Amazon Bedrock AgentCore Observability.

In today’s fast-paced business world, ensuring that your architectural design supports agility and innovation is crucial. This chalk talk provides a comprehensive guide for architects seeking to foster a culture of rapid ideation and implementation within their organizations.

In working with customers to bring transformational IoT solutions to life, AWS has learned that the often overlooked key to a successful IoT project is ensuring that there is support from the organization at every step of the way. To gain (and keep) that support, AWS customers are most successful when they follow an implementation model of “think big, prototype small, scale fast.” In this...

Operating and managing fleets of robots in the field can be a challenging task, from automated software updates and remote troubleshooting to orchestrating complex tasks and workflows. Companies often struggle to build reliable and scalable operations workflows to manage, monitor, and safely update robots as their fleet grows.

Most industrial IoT applications try to derive insights from production assets and compute KPI such as overall equipment efficiency (OEE). In this workshop, connect a fleet of industrial assets to AWS IoT services and learn how to access their data using AWS IoT Greengrass, AWS IoT Core, and other services.

Join us in this session to learn about the best practices, patterns, anti-patterns, and architectures for IoT solutions, including device security. Learn from real-world IoT solutions developed by AWS customers and learn how to better design for large-scale production deployments.