How to Make Predictive Maintenance Work Across All Your Plants presented by AssetWatch
Description:
Predictive maintenance has proven its value in single-site pilots—but scaling those results across multiple plants is where most programs stall. Every site operates differently, with its
own mix of assets, data maturity, and priorities, so what works in one plant rarely transfers neatly to another.
This webinar will focus on how to make predictive maintenance work everywhere. You’ll learn how manufacturers build consistency across sites while still meeting each plant
where it is on its maintenance journey. We’ll also explore how AI can help automate routine analysis, speed decision-making, and check critical “boxes” around efficiency, safety, and reliability.
You’ll walk away with practical steps to:
• Build a strong business case for PdM at both the plant and enterprise level.
• Address common objections that slow down adoption and expansion.
• Standardize data, alerts, and KPIs across sites.
• Integrate PdM tools into existing maintenance systems and workflows.
• Give corporate teams clear visibility into performance across plants.
• Partner with providers who can support every maturity level and simplify scaling.
Whether you’re leading operations, reliability, or corporate engineering, this session will help you scale predictive maintenance across your organization with confidence and clarity.
Speaker: Don Ryan
Don Ryan, Vice President Enterprise Sales at AssetWatch, brings over 30 years of experience working with organizations leverage technology to solve complex business problems Within Manufacturing, Don has worked with fortune 100 organizations to develop cost-effective and straight forward solutions that address material compliance, operational reliability, and overall plant performance. Given his deep history in technology and SaaS solutions, Don takes a common sense approach in solving Industry 4.0 initiatives and the use of AI to address process improvements at both the plant and corporate headquarters alike
Date: February 2026
Sponsored by AssetWatch