Uploaded June 2026 | Updated September 2026, 1 week ago
Not adopting AI predictive maintenance is itself a strategic risk. And it's bigger than most organizations realize.
In this video, our colleague Matthew Wise, PhD explains why the exposure goes far beyond individual equipment failures.
The challenge is twofold and both sides are accelerating:
⚡ Electrical systems are getting more complex, not less, increasing the probability and consequences of unplanned downtime.
👷 The pool of experienced engineers and maintenance technicians is shrinking, making it harder to manage that complexity without AI support
Together, these forces create a compounding risk: more sophisticated systems, fewer people who know how to run them.
The organizations that act now build resilience. The ones that wait, inherit the risk. Does your organization feel the same?
#EngineeredToOutrun
Not adopting AI predictive maintenance is itself a strategic risk. And it's bigger than most organizations realize.
In this video, our colleague Matthew Wise, PhD explains why the exposure goes far beyond individual equipment failures.
The challenge is twofold and both sides are accelerating:
⚡ Electrical systems are getting more complex, not less, increasing the probability and consequences of unplanned downtime.
👷 The pool of experienced engineers and maintenance technicians is shrinking, making it harder to manage that complexity without AI support
Together, these forces create a compounding risk: more sophisticated systems, fewer people who know how to run them.
The organizations that act now build resilience. The ones that wait, inherit the risk. Does your organization feel the same?
#EngineeredToOutrun
