GE is leveraging artificial intelligence to cut product design times in half. They are utilizing data-intensive technologies and tools to speed up the evaluation of the projected performance of design alternatives utilizing Artificial Intelligence to estimate the impacts of design changes much faster than possible using traditional methods.
Today’s typical technologies, like computational fluid dynamic analysis of a turbine blade, would typically require a couple of days for an engineer to complete a computational analysis. With machine learning, a computer can develop a surrogate model that can evaluate a million variations of a design in only 15 minutes. That breakthrough in design support can cut the product development lifecycle in half, helping get new products to market more quickly and less expensively.