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AI, People, and the Plant Floor:

Tackling Skilled Labour Shortages Without Replacing Humans

 

November 19, 9:00 PST | 12:00 EST | 16:00 CET

 

 

 

👇 Learn more below:

👷 The Challenge on the Plant Floor

 
“Pre-COVID we had 16 people covering 4 shifts. Now we have 5 — in a 300,000 sq. ft. facility.”

“Being thrown into a busy plant and told to ‘learn it’ has been a hell of an intro.”

“My workload is insane.”
 

These aren’t headlines — they’re the daily reality for maintenance teams across industries.

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 learnings.

🤝 What This Session Covers

Join us for a fireside chat on how existing technology and AI, teamwork, and leadership can help maintenance and operations teams do more with less — without burning out their people.

You’ll hear practical insights on how to:

✅ Prevent brain drain and capture knowledge before it’s lost to retirement.

✅ Use AI and remote monitoring to lighten workloads and firefighting.

✅ 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.

Speakers

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Jack DiGirolamo

Mechanical Reliability Engineer at ND Paper

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. 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.

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Patrick Heiser

VP of Sales, Americas & Europe

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!

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About Nanoprecise

 

Nanoprecise Sci Corp is an automated AI-based energy-centric predictive maintenance solution provider that facilitates early detection of even small changes in machine operations well before they impact production or cause downtime.

We specialize in the implementation of AI and IIoT technology for predictive asset maintenance and reducing the carbon footprint of manufacturing plants.

Learn more about how we're changing predictive maintenance with our Energy-Centric Predictive Maintenance Solutions!

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