In my frequent conversations with executives at major product-driven companies, the question of their readiness to leverage advances in AI often comes up. They have witnessed, as have we all, real AI-driven change in software, back-office operations, sales and marketing. But the engineering, manufacturing and delivery of physical products is a different ballgame altogether.​

The complexity of mechanical-electronic-software systems, the precision required to ensure physical product quality, and the ethical and regulatory demands of product safety conspire to make it more difficult for inference-driven generative AI to transform the business of physical product delivery. Click here to read the full-text article