Maximo Health
An asset health score has no operational value until someone uses it to make a better decision. The same is true for anomaly alerts, failure probabilities, and predicted failure dates. These outputs can focus attention, but they do not know the maintenance window, safety consequence, spare availability, production plan, regulatory
Asset Performance Management
Maximo is evolving from a work execution system into an asset lifecycle platform. This article explains how Reliability Strategies, Health, Predict, and Monitor form a closed loop that connects failure analysis to maintenance strategy and work execution.
APM
Maximo Application Suite now combines EAM, APM, and RCM in a single connected platform. With Reliability Strategies, Health, Predict, and Monitor working as integrated capabilities, organizations can move from reactive maintenance to predictive maintenance faster than ever. Here is how the piec
case studies
A survey of how asset-intensive industries deploy IBM Maximo to solve real operational problems, with lessons drawn from utilities, oil and gas, manufacturing, transportation, and facilities management.
Reliability & APM
Maximo's reliability capabilities have evolved from basic PM scheduling to AI-powered prescriptive maintenance. This article covers Reliability Strategies, Maximo Health, Condition Insight, and how to build a maturity roadmap from reactive to prescriptive.
APM
From Data to Action: How MAS 9.2 Closes the Reliability Loop with AI-Powered APM
RCM
The RCM-EAM-APM Convergence: How Maximo Is Building a Connected Reliability Digital Thread
RCM
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Predictive Maintenance
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Predictive Maintenance
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APM
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APM
MAS 9.2 embeds agentic AI directly into Asset Performance Management with Condition Insight, RCM Advisor, Smart Alerts, and automated work order generation. Here's how these capabilities connect Manage, Monitor, Health, and Predict into a closed loop.