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Future of AI in Product Design

Panel Discussion: Future of AI in Product Design

Simulation-driven design revolutionized product development by reducing iterations and prototype testing. Now, engineering data science is transforming it again with machine learning (ML) powered CAE tools for accelerated design decisions. ML-based AI and physics-based simulation leveraging high-performance computing is being applied to asset-centric data for enhanced manufacturing, warranty, and testing performance.

Int his panel discussion, moderated by Dr. Carsten Bange, industry experts explores engineering data science's state of the art, augmented simulation, AI-powered design, and predictive analytics. Aired during Future.AI in June 2021, the discussion lasts about 35 minutes.

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Panel Discussion

Future of AI in Product Design

The panel explores the current state of the art of engineering data science and the adoption of augmented simulation, AI-powered design, and predictive data analytics.

  • Question 1: What is Engineering Data Science?
  • Question 2: What is the difference of asset centric data and business centric data?
  • Question 3: Where do you see the difference to a physics based approach?
  • Question 4: How is Machine Learning integrated into existing analytics tools?
  • Question 5: What is Altair Design AI?
  • Question 6: Are SMBs embracing it? What are the challenges?

Moderated by Dr. Carsten Bange, Founder and CEO of Business Application Research Center (BARC) GmbH, the panel includes Dr. Fatma Kocer, VP of Engineering Data Science, Anthony McLoughlin, VP of Sales Data Analytics, Christian Kehrer, Business Development Manager System Modeling, and Marco Fliesser of Altair. The discussion is about 35 minutes long, and was aired during Future.AI in June 2021.

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