Unlocking Real World Engineering Acceleration with AI and Machine Learning

Five‑Part Webinar Series: Applied AI & Reduced‑Order Modeling for Engineering Innovation

Real‑World Engineering Case Studies in AI‑Driven Modeling and Simulation

Engineering teams are under increasing pressure to deliver safer, lighter, and higher‑performing products—faster and at lower cost. Traditional simulation alone is no longer sufficient. Artificial intelligence, reduced‑order modeling (ROM), and process‑aware material modeling are reshaping how engineers predict performance, explore complex design spaces, and make decisions earlier in the development cycle.

This five‑part webinar series presents real‑world, production‑level engineering case studies demonstrating how AI‑enabled workflows are used to accelerate simulation, improve prediction accuracy, and enhance engineering efficiency. Each session highlights practical applications of machine learning, reduced‑order models, and data‑driven methods applied to real engineering problems.

Across the series, you will learn how engineering teams:

Replace multi‑day or multi‑week simulations with near‑real‑time predictive models	Connect manufacturing data, material behavior, and simulation results into unified workflows
Apply machine learning, reduced‑order modeling, and vision‑based AI to engineering analysis	Rapidly explore, screen, and optimize complex design and process parameters
Reduce physical testing while increasing confidence in simulation‑driven decisions

Each session walks through the complete engineering workflow—from DOE planning and data generation to model training, validation, and deployment—showing how AI and ROMs are applied in day‑to‑day engineering and R&D environments.

Whether you work in CAE, product development, materials engineering, or R&D, this webinar series provides practical, immediately applicable insights to accelerate virtual testing, improve prediction fidelity, and enable faster, more informed engineering decisions.

Register for individual sessions or attend the full series for a complete overview of how AI and machine learning enabled engineering is reshaping the industry.