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From Design to Operations: Redefine the Future of Engineering with AI

Join our webinar to stay at the cutting edge of AI and simulation with Ansys SimAI and TwinAI. Discover how SimAI accelerates design performance assessments, how hybrid analytics enhance digital twin accuracy, and how to integrate physics models with AI using TwinAI.

Venue:
Virtual

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Overview

Join us to discover how Ansys is leveraging artificial intelligence to revolutionize engineering simulation across product lifecycles, from engineering design to manufacturing and operations, bringing speed, innovation, and accuracy.

In this webinar, you will explore two AI solutions through specific industry use cases: Ansys SimAI for engineering design exploration and Ansys TwinAI for operations and deployment.

Ansys SimAI is an AI-augmented simulation technology that empowers engineers to rapidly explore and predict the performance of new concepts across various design phases. With reliable and fast results accessible through a user-friendly cloud-native application, SimAI is designed to be inclusive, targeting a broad engineering audience, encompassing all simulation engineers and designers across every physics and industry.

Ansys TwinAI integrates the precision of physics-based models with real-world data insights, powered by AI techniques, for improved operational efficiency and predictive maintenance. This digital twin solution allows to validate any digital twin model, enhancing accuracy with hybrid analytics and simplifying deployment processes. TwinAI enables fast, accurate, and evolving digital twins through reduced order modeling (ROMs) for physics and data, providing an easy path to scaled deployment in a user-friendly interface, ensuring a smooth and comfortable user experience.

What Attendees will Learn

  • See the transformative power of AI in engineering simulation
  • How SimAI enables rapid performance assessment of new designs
  • Integrate physics models with AI insights through TwinAI
  • Enhance digital twin accuracy with hybrid analytics
  • Simplify digital twin deployment in cloud-like environments

Who Should Attend

Engineers interested in digital twins, AI/ML techniques

Speakers

  • Ilya Tolchinsky
  • Manzoor Tiwana
  • Christophe Petre
  • Siby Mandapathil