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-maintenanceConnect
with Steve on
LinkedIn:https://www.linkedin.com/in/steve-lomax-56730912/Learn
more about Rheon Insights:https://www.rheoninsight.co.uk/
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