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Whitepaper

Transforming Manufacturing with Generative AI

Manufacturers are being asked to raise productivity while cutting costs, shrinking their environmental impact and adapting to volatile demand, priorities that traditional methods struggle to balance. This point of view looks at how generative AI can help reconcile them across six areas: automated design iteration and simulation that shortens development cycles and reduces material waste; predictive maintenance and scheduling that catch equipment failures before they cause downtime; what-if scenario modeling that exposes supply chain bottlenecks before they hit; machine instructions generated automatically for custom specifications, making personalization possible without slowing production; optimization of materials, production sequences and energy use to meet sustainability goals; and decision support that takes routine work off employees rather than replacing them. It closes with the services OpenText offers to get there, from implementation and integration to managed AI services, workforce training through its Manufacturing AI Academy and around-the-clock support.