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 this episode, the host is joined by Steve Lomax, an independent reliability and maintenance consultant with decades of experience in highly regulated pharmaceutical environments, who shares a practitioner’s perspective on predictive maintenance, reliability, and digital transformation.

• What predictive maintenance really means in regulated industries, focusing less on “magic AI” and more on reducing uncertainty, managing risk, and stabilising critical processes.

• Why reliability must be framed in business language, connecting maintenance decisions to availability, risk, patient impact, and CFO‑level financial outcomes.

• How global standards and local realities must coexist, with predictive maintenance deployed through a common framework but adapted site‑by‑site based on maturity, assets, and regulation.

• Why data quality, simplicity, and cultural readiness matter more than more sensors, starting with existing data and building trust in digital records and AI‑supported insights.

• How to introduce predictive maintenance without overwhelming teams, by focusing on asset criticality, bad actors, cross‑functional ownership, and a clear reliability roadmap.

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

Connect with Steve on LinkedIn:

https://www.linkedin.com/in/steve-lomax-56730912/

Learn more about Rheon Insights:

https://www.rheoninsight.co.uk/