Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner

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.• Why predictive
maintenance is crucial in heavy industry environments, and how it
differs from traditional maintenance approaches - from preventing
catastrophic failures to optimizing machine performance• The real
value of existing data in heavy industrial settings, and why
organizations often underestimate what they already have while
overestimating what they need• How predictive maintenance directly
impacts workplace safety in heavy industry, with real examples of
how monitoring and early detection can prevent dangerous
situations• The rapid return on investment (ROI) potential in heavy
industry applications, including examples of companies achieving
ROI within weeks and saving millions through single preventive
actions• The role of AI and copilot technology in democratizing
maintenance knowledge, breaking down language barriers, and
preserving crucial expert knowledge as experienced workers retire.
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