EBOOK
As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, their integration with simulation is amplifying the capabilities of digital twins. At Ansys, AI/ML, simulation, and reduced-order modeling (ROM) combine to create hybrid digital twins—virtual replicas that blend data-driven insights with the accuracy of physics-based models. This powerful approach enables real-time monitoring, predictive maintenance, and performance optimization across diverse scenarios.
Ansys Twin Builder® and Ansys TwinAI™ leverage ROMs to simplify complex models, making it possible to understand system behavior while minimizing computational demands. These hybrid digital twins adapt automatically to changing environments, delivering precise, actionable insights for industries with stringent performance and safety requirements.
In this eBook, we’ll explore how Ansys’ unique hybrid analytics tools, powered by AI/ML and ROMs, are redefining digital twin technology—bridging the gap between design and operations for smarter, faster decision-making.
What you will learn:
- AI/ML’s impact on digital twins
- Hybrid digital twins: combining data and physics
- Reduced-order modeling (ROM) for faster simulations
- Applications across industries
- Next-gen digital twins with AI/ML and ROMs
- Benefits of hybrid analytics
- Key capabilities for digital engineering
- Future trends in digital twin technology
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