Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.

In the latest episode of the Trend Detection Podcast, we speak with Michael Schrapp, Director, Global Go-to-Market for Data & AI at Siemens, about the Eigen Engineering Agent and the connection between automation engineering, reliability and maintenance.

In the episode, we explore:

🔹 Why industrial AI needs domain and project context

🔹 How integration with TIA Portal reduces manual translation and context loss

🔹 How validated engineering can support reliability and maintainability

🔹 The changing roles of skills, governance and accountability

🔹 Why the engineer remains central to review and approval

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance