AWS for Manufacturing at IMTS 2026

Realizing Industrial AI at Scale with AWS | Wednesday, September 16 @ 11:30 AM – 12:00 PM | IMTS+ Main Stage | Speakers: Mike Choe, Director - US Automotive & Manufacturing at AWS

Industrial AI is unlocking unprecedented value for manufacturers, helping them enable autonomous operations, optimize supply chains, and accelerate product innovation. Discover how AWS is enabling manufacturers to deploy agentic AI systems that help optimize complex operations and supply chains, physical AI systems that operate in demanding factory environments, and unified data foundations that help turn fragmented operations into a single, intelligent system—all on a cloud that's more scalable and secure.

From Automation to Autonomy: The Next Era of Manufacturing with Physical AI | Wednesday, September 16 @ 2:15 – 3:10 PM | Room W192-B | Speakers: Joseph Rosing, Head of Smart Mfg & Supply Chain CoE at AWS

Manufacturing automation has reached its limits. Traditional systems execute deterministic control loops—programmed motion and rule-based exception handling. Physical AI fundamentally reimagines this approach through learned world models and closed-loop policy optimization that enables genuine autonomous operation. Discover how Physical AI combines simulation-based training with real-world learning loops to accelerate development of production-ready autonomous systems. Learn how vision-language models turn natural language into robot policies, reinforcement learning-based training can achieve 85-95% zero-shot transfer in mere hours, and edge deployment can take action reliably in the real-world. Explore how deployments expose technical constraints and gain insights into a framework for rapidly responding to these challenges.

Bringing Industrial AI to the Machine Shop Floor with AWS and MachineMetrics | Wednesday,  September 16 @ 3:45 – 4:15 PM | South Building Room S401-ABC | Speakers: Steve Blackwell, Head of Product Engineering & Services CoE at AWS; Rutherford Wilson, CPO at MachineMetrics

Precision machine shops want to deliver flawless parts on time, every time—but programming delays, machine failures, and a skilled workforce that's retiring faster than it can be replaced present constant challenges. Satisfying customers while navigating these headwinds requires a new kind of advantage. Discover how AWS and MachineMetrics are helping machine shops take control with industrial AI. Learn how AWS can help you connect machines for real-time visibility and predictive maintenance—catching spindle degradation, bearing wear, and anomalies with the help of AI before they become unplanned downtime. Hear how AWS partner MachineMetrics goes beyond machine monitoring to help operators, supervisors, planners, and CI leaders close the execution gap: the disconnect between the schedule ERP planned and what actually happens on the floor. Built on AWS, its manufacturing operations platform delivers the MES capabilities that turn real-time data, ERP records, and shop floor expertise into instant answers and informed action, all through AI agents built into the work. Walk away with a clear path to bring these capabilities to your own shop floor, without lengthy implementations. Machine builders can also learn how to develop smart connected machines with AWS that enable new monitoring, remote support, and outcome-based maintenance models for machine shop customers.