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Prithviraj Banerjee on product

From S2, EP6 - Dr. Prith Banerjee - ANSYS CTO · · DrNeilAshton

“We built a platform, SimAI, which allows a customer to take their problems and designs, use our tools like Fluent or ANSYS Mechanical, train AI models on your problem, and then the 100th design that might have taken 100 hours will run in a minute — that's the value proposition.”

Prithviraj Banerjee
Chief Technology Officer, ANSYS Inc
productAI for simulationautomation

On , Prithviraj Banerjee, Chief Technology Officer at ANSYS Inc, spoke about product during S2, EP6 - Dr. Prith Banerjee - ANSYS CTO on DrNeilAshton.

S2, EP6 - Dr. Prith Banerjee - ANSYS CTO
Watch on YouTube at 32:40
S2, EP6 - Dr. Prith Banerjee - ANSYS CTO
DrNeilAshton
Watch on YouTube at 32:40
In this episode of the Neil Ashton Podcast, Dr. Prith Banerjee, CTO of Ansys, shares his extensive journey from academia to the corporate world, discussing the interplay between academia and industry, the role of startups in innovation, and the transformative potential of AI and ML in simulation. He emphasizes the importance of solving real-world problems and the need for collaboration between academia, startups, and large corporations to foster disruptive innovation. He discusses innovative business models for data sharing, the intersection of data-driven and physics-informed approaches, the role of open source in AI innovation, the potential of foundational models in computer-aided engineering (CAE), the future of quantum computing in simulation, and offers advice for aspiring innovators and entrepreneurs. He emphasizes the importance of collaboration, data governance, and the need for interdisciplinary approaches to solve complex problems in engineering and technology. Dr. Banerjee's book - The Innovation factory: https://www.amazon.com/Innovation-Fac... Chapters 00:00 Introduction to the Podcast and Guest 05:18 Dr. Prith Banerjee's Journey: From Academia to CTO 09:10 The Role of Academia, Startups, and Industry 17:22 Advice for Startups: Motivation and Market Sizing 24:04 The Impact of AI and ML on Simulation 35:07 Future of AI in Physics and Simulation 36:10 The Power of Data in AI Models 40:33 Incentivizing Data Sharing for Better Models 42:55 Physics-Driven vs Data-Driven Approaches 47:30 The Role of Open Source in AI Innovation 52:06 Foundational Models and Simulation Data 58:22 The Future of CAE and Quantum Computing 01:06:29 Advice for Aspiring Innovators Audio-only Apple podcast version: https://podcasts.apple.com/gb/podcast... Spotify version: https://open.spotify.com/episode/4AiA... Keywords Neil Ashton, Prith Banerjee, CAE, AI, ML, simulation, academia, startups, industry, innovation, AI, data sharing, physics-driven, open source, foundational models, quantum computing, CAE, simulation, innovation, engineering
Prithviraj Banerjee

About Prithviraj Banerjee

Chief Technology Officer · ANSYS Inc

Prithviraj Banerjee, Chief Technology Officer at Ansys, discussed the company's approach to simulation and artificial intelligence in a December 2024 podcast. He described Ansys as a leading modeling and simulation company that uses physics-based methods such as finite element and finite volume techniques. Banerjee stated that his role involves examining the future of simulation and technologies like AI, machine learning, and high-performance computing to drive future products. He noted that a key challenge is balancing accuracy and speed in simulation tools. Banerjee outlined Ansys's development of a platform called SimAI, which allows customers to train AI models on their own design problems, reducing simulation time for later designs. He also described a longer-term vision for foundational AI models for physics, analogous to large language models, that would be trained by Ansys on a broad set of physical data. Banerjee acknowledged that building such models would require access to customer data and discussed potential business models involving anonymized data sharing with compensation. He also mentioned that quantum computing could accelerate simulation within a decadeasi.

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