Revolutionizing CAE with AI
The Future of Engineering Simulation
Part 1: 4th December | 3:00pm - 4:00pm
Part 2: 5th December | 11.30am to 12.30pm
Join us for an exclusive two part webinar series where industry experts explore the transformative impact of Artificial Intelligence on the Computer-Aided Engineering (CAE) landscape. Learn how AI-driven tools are enhancing simulation accuracy, accelerating product design, and shortening development cycles — redefining what’s possible in engineering simulation. Get equipped with insights to stay competitive in the age of AI.
Why Attend?
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The Role of AI in CAE
Discover the unique ways AI is influencing CAE workflows, from predictive modeling to real-time simulations. -
Accelerated Product Design
See how AI tools are reducing design and development cycles, empowering engineers to bring products to market faster. -
Enhanced Simulation Accuracy
Learn how AI-driven simulations improve accuracy and reliability in sectors where precision is paramount, including automotive and heavy industries. -
Industry Case Studies and Practical Insights
Real-world examples from leaders in the field that showcase successful AI adoption in CAE.
AGENDA
3:00 PM – 3:10 PM | Welcome & Introduction
Anjaney Hosmath | Sr. Technical Manager, Altair
- Welcome address and purpose of the webinar
- Brief introduction of the speakers
- Overview of the CAE industry and the increasing role AI therein
3:10 PM – 3:30 PM | The Impact of AI on CAE: A New Era
Fatma Kocer | VP, Engineering Data Science
- How AI is reshaping the CAE landscape
- Key AI technologies (e.g., machine learning, deep learning, neural networks) being applied in CAE
- Benefits: speed, accuracy, automation, and predictive capabilities
3:30 PM – 3:50 PM | AI-Enhanced Simulation Techniques: Real-World Case Studies
Client 1 : CAE Industry Professional
- Presenting examples of PAI in action within automotive, heavy, etc
- How AI reduces design cycles and optimizes simulations
- Case study showing significant gains in productivity and ROI
- Outcomes and way forward. How they plan to expand and implement further in various divisions
3:50 PM – 4:00 PM | (Q&A Open Chat)
Closing the session with next date and topics.
Attendees can submit questions via chat, which will be addressed in the upcoming next day live Q&A session.
11:30 AM – 11:40 AM : Quick Summary
Quick overview of Part 1
11:40 AM – 12:00 PM | CAE & AI Integration: The Future of Simulation
Client 2 : CAE Industry Professional
- Deep dive into PAI capabilities
- Uniqueness of PAI and why it is considered.
- How AI algorithms accelerate product testing and validation
- Demonstration of PAI case
12:00 PM – 12:20 PM | Build fast predictive models from existing CAE data
Client 3 : CAE Industry Professional
- AI’s role in predicting component assessment /failure and ensuring product reliability
- Using historical CAE data and machine learning models to predict new design performances/issues
- PAI Case examples and how it is helping.
12:20 PM – 12:30 PM | Live Q&A
Fatma Kocer / Azan | VP, Engineering Data Science
- Addressing audience questions from the chat
- Discussion on how clients can start incorporating AI-driven CAE tools into their workflows
12:30 PM – 12:40 PM | Closing Remarks
Fatma Kocer | VP, Engineering Data Science
- Summary of key takeaways from the webinar
- Invitation to upcoming webinars and hands on workshops
- Providing additional resources and contacts for further discussions