Using Digital Simulations to Decrease Product Development Time and Cost with Prith Banerjee, the CTO of Ansys
Prith Banerjee, the CTO of Ansys, explains how digital simulations can reduce the development cycle and cut costs. He describes how A.I. is being used to cull through large amounts of data to assist in predictive analytics when creating a product. Banerjee also chats about his passion for connecting Ansys to academia to help empower students and academic institutions. IT Visionaries is brought to you by the Salesforce Platform - the #1 cloud platform for digital transformation of every experience.
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Show Notes
Developing physical products quickly is what it’s all about in a fast-paced world. What slows down the development speed and drives up cost are the materials and the time it takes to see if a concept works. Using digital simulations, alongside predictive analytics, increases speed while lowering costs. Prith Banerjee, the Chief Technology Officer at Ansys, makes the point that the precise capabilities of simulations today are providing the power to create new products from the micro to the macro.
Main Takeaways
- The Appeal of Digital Simulations: The old process of developing a product would involve lots of different versions and materials. With the use of a digital simulation, in other words, a digital twin, all these trial and error versions can play out in the digital arena. Doing so increases development speed and reduces cost.
- Academia and Industry: Academia, at its best, projects forward into the future new possibilities that are later implemented across industries. Therefore, forward-thinking industries ought to have a motivation to connect to academia to offer resources so that academic institutions can strive for innovations. Ansys is partnering with a number of academic institutions to make its simulation software available for free.
- Exciting Simulations Now and in the Future: Banerjee mentions current digital simulation use cases ranging from the oil industry to electrification of cars to heating and cooling huge buildings. Furthermore, he shares excitement in the healthcare area because, right now, there is an ability to simulate a heart that is having a problem functioning to see if a pacemaker will solve the issue. With this level of precision, one can imagine all manner of encouraging applications for simulations both now and in the future of healthcare and in many other areas
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