During this session, participants will explore how Generative and Agentic AI are transforming innovation in the manufacturing sector, accelerating experimentation and creating unprecedented opportunities for widespread innovation within organizations. The ability to leverage unstructured data, develop new applications and delegate increasingly complex tasks to intelligent agents opens up new opportunities for process redesign, productivity improvement and decision-making support, enabling the transition from automation to augmentation.

The discussion will focus on innovation governance: how to empower people to develop new ideas, foster experimentation and scale the most effective solutions. The session will also explore criteria for evaluating innovation investments, considering not only ROI but also return on failure, namely the value of the learning generated through experimentation.

In particular, through business cases from front-runner companies, participants will explore:

• generative and agentic AI in manufacturing: where the most promising opportunities are emerging
• from process redesign to augmentation: new processes, tasks and operating models
• governance of widespread innovation: experimentation, scalability and return on failure.