Tackling Skilled Labour Shortages Without Replacing Humans
According to Deloitte, 1.9 million manufacturing jobs could remain unfilled by 2033, and nearly 40% of the maintenance workforce could retire in the next five years.
The result is a tight labour market where everyone must rethink how they leverage expertise and optimize workflows for efficient labour utilization and learning.
Can Using Predictive Maintenance and AI Help?
Yes, but it isn’t a catch-all. Download the webinar to learn how PdM and AI can be used in tandem with existing teams to:
🔸Prevent brain drain and capture knowledge before it’s lost to retirement.
🔸Enable smaller teams to achieve more across large facilities.
🔸Build a culture where AI supports technicians, instead of replacing them.
🔸Rebuild trust and confidence in technology on the plant floor.
About the Speakers
Jack DiGirolamo
Jack is a Mechanical Reliability Engineer at ND Paper in Rumford, Maine. He holds a degree in Mechanical Engineering Technology from the University of Maine and has spent the past three years improving equipment performance and reliability in heavy industry, specifically pulp and paper. His experience includes lubrication systems, vibration and failure analysis, precision maintenance standards, and preventive maintenance strategies.
Born and raised in central Maine, he enjoys golfing, snowboarding, and fishing in his free time.
Patrick Heiser
With 15 years+ driving industrial innovation at organizations including Hitachi, LTIMindtree, and OmniMetrix, Patrick has a proven track record of helping global manufacturers and energy leaders transform reliability into a strategic advantage.
Patrick is recognized globally for bridging AI, IoT, and business outcomes, enabling companies to reduce downtime, boost efficiency, and achieve measurable sustainability results!
About Nanoprecise Sci Corp
Nanoprecise is a leading Canadian technology company and top provider of prescriptive and predictive maintenance solutions for machinery-intensive industries. By combining AI, IoT sensors, and Energy-Centered Maintenance, we help companies reduce downtime, cut energy waste, extend equipment life, and improve sustainability.