Predictive maintenance promises reduced downtime, extended asset life, and lower maintenance costs, but many organizations never see those results. Despite heavy investments in sensors, analytics, and digital tools, programs often stall before delivering value. The culprit is a misalignment between strategy, technology, and day-to-day operations that leaves teams overwhelmed by fragmented data and disconnected processes.
In this webinar, Matt Kirchner, Principal Solution Engineer for RapidAPM at Prometheus Group, draws on over 20 years of experience across the utility, industrial, and manufacturing sectors to explain why predictive maintenance initiatives so often fall short and how to turn them around. From his early days in engineering at Black and Veatch to his leadership at Atonix Digital (now Prometheus RapidAPM), Matt has seen firsthand what separates programs that succeed from those that struggle to get off the ground.
You will learn what causes predictive maintenance efforts to fail, how to realign strategy and execution, and how to scale with confidence, turning your data into actionable insights and measurable reliability gains.
In this webinar, you will learn:
- Why predictive maintenance programs fail and how misalignment between strategy, technology, and operations undermines success
- How to fix underperforming programs by addressing data fragmentation, process gaps, and operational silos
- Ways to align predictive insights with business goals for measurable improvements in reliability, uptime, and costs
- A proven framework for scaling predictive maintenance without overextending your resources or budget
Do not let your predictive maintenance program become another stalled initiative. Watch now to learn how to overcome common pitfalls, unlock operational value, and build a smarter, more efficient maintenance future.
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