Siemens: AI and Digital Twins for Manufacturing (CxOTalk)
At Siemens, combining digital twins with artificial intelligence (AI) removes much of the guesswork and expense that comes with manufacturing a product. But what is a digital twin, or virtual replica, and how does it streamline your production process in the real world?
In this video, Dr. Norbert Gaus discusses the challenges of bringing digital twin automation to life. He offers sage advice to business leaders considering digital twin technology for their own companies.
In this conversation you will learn about topics that include:
-- What is a digital twin?
-- How a digital twin improves manufacturing
-- Machine learning models used to create a digital twin
-- Ensuring the digital twin accurately represents the physical object
-- Digital twins across the product lifecycle
-- Customer applications for the digital twin
===
For the complete transcript, see: https://www.cxotalk.com/video/how-use-digital-twin-ai-improve-manufacturing
Be sure to subscribe to the CXOTalk newsletter: https://www.cxotalk.com/subscribe
===
Dr. Norbert Gaus of Siemens Corporate Technology defines the concept of a digital twin as a "digital representation of a physical product in all its aspects." Digital twin technology can speed time to market, reduce costs, and allow a company to create a much broader portfolio of products.
Dr. Gaus explains how Siemens uses AI-based simulations to take the place of creating multiple physical prototypes to achieve new designs. He describes how Siemens combines a digitized version of the physical product with artificial intelligence throughout the product life cycle. That product lifecycle includes design, components, manufacturing, operations, and service and maintenance.
Видео Siemens: AI and Digital Twins for Manufacturing (CxOTalk) канала CXOTALK
In this video, Dr. Norbert Gaus discusses the challenges of bringing digital twin automation to life. He offers sage advice to business leaders considering digital twin technology for their own companies.
In this conversation you will learn about topics that include:
-- What is a digital twin?
-- How a digital twin improves manufacturing
-- Machine learning models used to create a digital twin
-- Ensuring the digital twin accurately represents the physical object
-- Digital twins across the product lifecycle
-- Customer applications for the digital twin
===
For the complete transcript, see: https://www.cxotalk.com/video/how-use-digital-twin-ai-improve-manufacturing
Be sure to subscribe to the CXOTalk newsletter: https://www.cxotalk.com/subscribe
===
Dr. Norbert Gaus of Siemens Corporate Technology defines the concept of a digital twin as a "digital representation of a physical product in all its aspects." Digital twin technology can speed time to market, reduce costs, and allow a company to create a much broader portfolio of products.
Dr. Gaus explains how Siemens uses AI-based simulations to take the place of creating multiple physical prototypes to achieve new designs. He describes how Siemens combines a digitized version of the physical product with artificial intelligence throughout the product life cycle. That product lifecycle includes design, components, manufacturing, operations, and service and maintenance.
Видео Siemens: AI and Digital Twins for Manufacturing (CxOTalk) канала CXOTALK
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