As AI early adoption gains traction, how will this impact the future of product development?
Advancements in the fields of artificial intelligence and machine learning, combined with the increased availability of robust simulation, testing, and field data sets have made engineering data science a critical component of the modern product development lifecycle. Computer-aided engineering augmented by AI is offering manufacturers the ability to discover machine learning-guided insights, explore new solutions to complex design problems through physics and AI-driven workflows, and achieve greater product innovation and business performance.