Artificial intelligence (AI) is a core transformation lever across industrial design and engineering. Product complexity, shorter development cycles, and the need for mass customization are overwhelming traditional workflows, making AI-enabled design, engineering, simulation, and decision-making support key for competitiveness. AI-based tools, such as generative design, augmented computer-aided design (CAD), computer-aided engineering (CAE), and fast-physics replacements are shifting to primary engines of innovation, enabling engineers to explore multiple design options under real manufacturing and physics constraints, reduce dependence on physical prototyping, and improve performance, cost, and sustainability results.

The main goal is continuous improvement.

• Why are manufacturers now prioritizing AI-native design workflows and application-engineered AI models over traditional tools?
• How can your team grow by integrating AI tightly with CAD, product lifecycle management, simulation, and test environments?
• Which partnerships among designers, engineers, data scientists, and manufacturing can help create fit-for-purpose AI solutions aligned with end-use applications?