Chaos-Free Condition Monitoring
Assetwatch
58:23
How to Address Data Overload by Pairing Human Expertise with AI
From vibration trends to oil analysis results and temperature readings, industrial maintenance teams are drowning in data. These pieces of information are critical for keeping industrial equipment running, but without the right tools and expertise to interpret that data, vital insights get buried.
A collaborative approach to predictive maintenance can help. By combining AI-driven analysis with human expertise, you can prioritize maintenance activities more effectively, reduce the risk of equipment failure, and extend asset lifecycles.
Join us on July 22nd at 1 PM ET / 10 AM PT to learn how to cut through the noise and unleash the power of your asset data.
In the session, we’ll explore how you can:
- Rapidly surface failure patterns and early warnings with AI
- Validate and prioritize what matters by applying human insight
- Extend equipment life and boost reliability with confidence
- Stay at the forefront of industry advancements
An AI-driven approach isn’t about replacing your team–it’s about empowering them.
Speakers
David Murphy
Condition Monitoring Engineer Program Manager
David Murphy, CME Program Manager at AssetWatch, specializes in Category 3 Vibration Analysis and Level 1 Thermography and holds a Machine Lubrication Analyst 1 (MLA I) certification. David brings 7+ years of dedicated experience in reliability, with a robust background in field fan balancing, laser alignments, and motion amplification training.
Garrett Coleman
Customer Success Team Lead
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.
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Chaos-Free Condition Monitoring
58:23