Demystifying AI for the Plant Floor: From Buzzword to Toolbox
Artificial intelligence is everywhere. But for maintenance teams under constant pressure, separating what’s useful from what’s hype can feel like staring into a crystal ball. With skilled labor stretched thin and expectations rising, maintenance and operations leaders need tools that deliver clarity, not added complexity.
This webinar cuts through the noise to show how AI is being used today to strengthen predictive maintenance programs. You’ll see examples of how manufacturers use AI to detect anomalies earlier, prioritize asset risk, and support faster, smarter maintenance decisions, without removing human judgment from the process.
Get Up And Running Fast
Ongoing CAT III & IV CME Verification and Support
A dedicated vibration analyst will validate your data and alert your team to urgent maintenance needs.
Remote Condition Monitoring in Real Time
We’ll install Vero® smart sensors and use predictive analytics to detect and flag equipment issues early.
Predict & Prevent Unplanned Downtime
Transform your plant with lower costs, less stress, steady output, and healthier, more reliable equipment.
We Are AssetWatch
We're on a mission to help manufacturers successfully transition from reactive to predictive maintenance so they can avoid the costs, burdens, and stress associated with unplanned downtime.
Our friendly, dedicated experts are here to make things easy, providing the leading-edge technology, insights, and ongoing support you need to ensure equipment reliability and maintain peak performance and output.
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Minimal Effort, Maximum Savings.
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Schedule your demo
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Start your 30-day trial for $199
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Eliminate unplanned downtime
Discover how condition monitoring can enhance equipment health, performance, and lifespan.
You’ll gain real-world insight on how to:
- Understand where AI adds value (and where it may not)
- Use AI to surface anomalies and prioritize asset risk
- See how AI and human expertise work better together than either alone
- Reduce downtime without overwhelming teams with data
- Capture tribal knowledge and support the next generation of reliability professionals
Whether you work on the plant floor, lead reliability and maintenance teams, or support operations at the corporate level, this session will help you move past the AI mystery and apply it in ways that deliver practical, measurable results.
Join The Live Webinar
Live on March 10th, 2026 at 2 PM ET / 11 AM PT
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Speakers
2PM ET / 11AM PT
SPEAKING TIME
DATE
March 10th, 2026
Online
LOCATION
Brendan Joyce, Director, Cloud Product Management at AssetWatch, brings over a decade of experience in product management, specializing in cross-functional team leadership and product innovation. At AssetWatch, he plays a pivotal role in crafting predictive maintenance solutions that eliminate unplanned downtime and increase operational efficiency across various industries. Brendan holds an MBA in Entrepreneurship: Innovation and Change from the Driehaus College of Business at DePaul University, along with a Bachelor’s degree in Nuclear, Plasma, and Radiological Engineering from the University of Illinois Urbana-Champaign. His dedication to continuous improvement and innovation drives his success in the field.
Brendan Joyce
Cloud Product Management | AssetWatch
Garrett Coleman, Customer Success Team Lead at AssetWatch, plays a pivotal role in blending human expertise with AI innovation to help customers achieve smarter maintenance outcomes. A strong advocate for empathy in a tech-driven world, Garrett is passionate about making condition monitoring approachable and useful. He’s known for building lasting trust through transparent, relationship-focused communication and excels at aligning cross-functional teams to deliver meaningful, people-centric solutions. At his core, Garrett is dedicated to keeping the human element at the heart of industrial intelligence.
Garrett Coleman
Customer Success Team Lead | AssetWatch
