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 part one of this episode, you will learn about:

How Senseye works with your existing setup Discover why Senseye is vendor-agnostic, how it integrates with any PLC or database (even email-based CSVs!), and how it builds on your existing infrastructure—no rip-and-replace required.

The power of AI + human expertise Explore how AI doesn’t replace people—it augments them. Senseye automates routine monitoring so engineers can focus on solving the truly complex problems, with results easily shared from shop floor to boardroom.

Capturing tribal knowledge at scale Find out how Senseye uses large language models to capture, preserve, and share expertise from veteran engineers—ensuring valuable maintenance knowledge isn’t lost as teams evolve or retire.

Scaling predictive maintenance globally Hear how real customers like BlueScope Steel are monitoring over 15,000 machines in real-time—proving Senseye can deliver massive scale, fast ROI, and measurable business outcomes.

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