Intelligent and complex ECAD MCAD requires digital transformation
Product developers are increasingly incorporating artificial intelligence and autonomous technologies to provide customers with smart and connected solutions. As these more tech-centric products continue to evolve, so too do their complex designs. A major challenge emerging in companies trying to keep pace with customer expectations has been siloed processes across disciplines.
In this interactive infographic, we will walk you through how leading companies are overcoming siloed processes in favor of integration workflows leveraging the digital twin.
How to eliminate design silos
Corporations cite electronics, simulation, and mechanical data synchronization as a significant product design challenge with a considerable amount of time spent correcting data integrity errors. Best-in-class companies are 82% more likely to utilize a process where electronics, mechanical, and simulation data are incrementally exchanged. Learn more in this interactive infographic.
Improved product design decision making with prescriptive analytics
Digital twins demonstrate the impact of design changes, usage scenarios, environmental conditions, and other endless variables – eliminating the need for physical prototypes, reducing development time, and improving the quality of the finalized product or process. Learn more about leveraging digital twins in product design for improved decision making.
Product developers are increasingly incorporating artificial intelligence and autonomous technologies to provide customers with smart and connected solutions. As these more tech-centric products continue to evolve, so too do their complex designs. A major challenge emerging in companies trying to keep pace with customer expectations has been siloed processes across disciplines.
In this interactive infographic, we will walk you through how leading companies are overcoming siloed processes in favor of integration workflows leveraging the digital twin.
How to eliminate design silos
Corporations cite electronics, simulation, and mechanical data synchronization as a significant product design challenge with a considerable amount of time spent correcting data integrity errors. Best-in-class companies are 82% more likely to utilize a process where electronics, mechanical, and simulation data are incrementally exchanged. Learn more in this interactive infographic.
Improved product design decision making with prescriptive analytics
Digital twins demonstrate the impact of design changes, usage scenarios, environmental conditions, and other endless variables – eliminating the need for physical prototypes, reducing development time, and improving the quality of the finalized product or process. Learn more about leveraging digital twins in product design for improved decision making.
