Maximo AI
A practical analysis of Maximo's shift from predictive analytics toward agentic AI workflows: the component stack, the MCP angle, and how reliability and maintenance leaders should sequence their AI adoption.
Predictive Maintenance
A new industry survey of more than 600 maintenance decision-makers found that predictive maintenance adoption has doubled, rising from 9 percent to 18 percent, while generative AI has become a top investment priority at 36 percent. For Maximo operators, this data lands at a moment when MAS 9.2 has…
Maximo Health
A practitioner's guide to adopting the new APM industry models for power assets in IBM Maximo Health 9.2, covering data readiness, calibration, work-decision linkage, and long-term model governance.
APM
MAS 9.2 integrates APM capabilities directly with the EAM application, creating a closed-loop process from condition monitoring to work order execution. This article covers the full APM stack and provides a practical roadmap for building a condition-based maintenance program that delivers…
APM
IBM's Maximo APM stack in 2026 integrates Health, Predict, Monitor, and the new Condition Insight AI capability into a closed-loop process from condition monitoring to work order execution. This guide covers the full stack, how the pieces connect, and what it takes to operationalize APM in a…
case studies
From a 60% reduction in MOC approval times at Hubco to 87% failure prediction accuracy in Asia Pacific oil and gas, documented Maximo deployments across five industries show what the platform delivers when implementation is done right.
APM
MAS 9.2 introduces Maximo Condition Insight, an AI-powered capability that brings work orders, inspections, meter readings, and reliability strategies together into actionable, explainable asset condition analysis. Here is how the APM stack fits together and what it means for your reliability…
Maximo APM
A practitioner's guide to Maximo APM in 2026, covering Health scoring, Predict forecasting, Monitor ingestion, and how the four applications fit into a single asset lifecycle workflow.
Maximo Health
Maximo Health, Predict, and the new Asset & Locations Dashboard form a unified reliability stack that turns time-series data, work history, and inspection records into actionable insights. This article walks through the architecture, the scoring models, and the practical patterns that drive real…
Maximo Health
A practitioner's guide to Maximo Asset Performance Management in 2026 covering Health scoring, Predict models, Monitor ingestion, and how Reliability Strategies connects them into a coherent asset lifecycle workflow.
Maximo Health
A practitioner's guide to building a closed-loop reliability program in MAS 9.1 using Health, Predict, Monitor, and Reliability Strategies, with patterns for FMEA authoring, condition-based maintenance, and asset investment planning.
Maximo Health
Reliability Strategies in MAS 9.x turns RCM from a one-time engineering exercise into an operational capability that closes the loop with Health, Predict, Monitor, and work execution. We unpack the architecture, the scoring models, the Weibull analysis, and the pattern that makes reliability…