Overview
As organizations adopt digital twins, predictive maintenance, and model-based control, understanding model uncertainty becomes mission critical. This is especially true for industrial equipment deployed in the field: pumps, HVAC systems, compressors, motors, turbines, and other assets where reliability and uptime matter.
This session shows how to quantify, manage, and communicate uncertainty in deployed models.
What Attendees Will Learn
- How to prepare simulation models for deployment in digital twins and control systems
- How to use reduced order and surrogate models without sacrificing credibility
- How to quantify and monitor uncertainty in deployed models
- How to integrate UQ into MBSE and system architecture workflows
- How to verify embedded software and real-time models for production use
- How to build a long-term roadmap for lifecycle ready model confidence
Who Should Attend
- Director / Manager of Engineering
- Director of Technology / New Product Development
- Electrical Powertrain Engineers
- Motor/Drive & Controls Engineers
- CFD / FEA / Mechanical Simulation Engineers
- Product Managers for Pumps, Compressors, Motors, Drives
- Systems Engineers & Digital Engineering Leads
- Innovation / R&D Leaders in Industrial OEMs
Speaker
- Kaylan C Sharma - Applications Engineering, Manager
Date / Time: April 28, 2026, 9 AM EDT
Venue: Virtual
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- Cost:
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