IBM Maximo® Predict
IBM Maximo Predict is an AI- and machine learning-powered predictive maintenance solution within the IBM Maximo Application Suite (MAS). It helps organizations anticipate asset failures before they happen by analyzing historical data, real-time sensor readings, and maintenance records. By identifying patterns that lead to failures, Maximo Predict allows companies to optimize maintenance schedules, reduce unplanned downtime, and extend asset life — ultimately lowering maintenance costs and improving operational efficiency.
IBM Maximo® Application Suite
Key Components of Predict
Asset Health Scoring & Condition Assessment
Calculates health scores for each asset based on a wide range of data — including sensor readings, maintenance history, inspections, and usage patterns.
Provides visual dashboards and reports showing current asset health and condition trends.
Data Aggregation from Multiple Sources
Combines data from IoT devices, Maximo Manage, Maximo Monitor, inspections, and external systems.
Offers a holistic view of each asset’s condition, integrating operational, historical, and real-time data.
Risk and Criticality Analysis
Analyzes the risk and criticality of assets, helping prioritize maintenance and investments.
Supports risk-based decision-making by identifying which assets pose the greatest operational risks if they fail.
Health History and Trends
Tracks long-term asset health trends and degradation patterns.
Supports forecasting and planning for maintenance, replacements, and upgrades.
Visualization & Dashboards
Provides intuitive visualizations of asset health, including heat maps, health scorecards, and drill-down views.
Helps teams identify problem areas quickly and focus on the most critical assets.
Integration with Maximo Manage & Monitor
Directly integrates with Maximo Manage for asset records and maintenance data.
Syncs with Maximo Monitor for real-time asset performance data, creating a seamless asset health ecosystem.
Unlock the Ultimate Guide to IBM Maximo Application Suite (MAS)
Discover everything you need to know to modernize your asset management strategy.
Inside, you’ll learn:
- What’s new in IBM Maximo Application Suite 9.0
- Key differences between Maximo 7.6 and MAS
- How AppPoints and OpenShift change the game
- Industry use cases across energy, manufacturing, and transportation
- Step-by-step guidance for upgrading and migration readiness
Frequently Asked Questions
What is IBM Maximo Predict?
Maximo Predict is a predictive maintenance app in MAS that uses AI/ML on historical, real-time, and environmental data to anticipate failures. It surfaces probability of failure, estimated time-to-failure, and anomaly trends so teams can act before downtime hits.
What does Maximo Predict actually predict?
It provides failure probability, time-to-failure/RUL, end-of-life risk, and anomaly trends at the asset level (and by failure mode). These insights drive risk-based maintenance, parts planning, and optimal scheduling.
What data does it need?
Predict works best with maintenance history, sensor/IoT readings, inspection results, and relevant operating context (load, weather, environment). Naviam DataStudio helps cleanse, map, and bulk-load data to improve model quality and accuracy.
Does Maximo Predict require data science expertise?
Not necessarily. Predict includes default notebooks/templates for common models. Advanced teams can extend or build custom notebooks and deploy via Watson Machine Learning.
How does Predict integrate with other Maximo apps?
Predict complements Maximo Health (scoring/condition), uses Maximo Monitor telemetry for live features, and triggers Maximo Manage work orders from predicted risk. Pair with Naviam Planner to translate predictions into executable schedules.
How is it deployed and scaled?
Predict runs on Red Hat OpenShift® and can be deployed on-premises, cloud, or SaaS as part of MAS. Naviam Cloud+ offers fully managed Maximo environments—upgrades, monitoring, security, and performance tuning for AI workloads.
What outcomes can we expect?
Organizations typically cut unplanned downtime, optimize PM intervals, and extend asset life while lowering maintenance cost and parts spend. Predict enables risk-based decisions that prioritize the most critical assets first.
Predict Issues. Protect Uptime.
Predict Issues. Protect Uptime.
With Naviam and IBM Maximo Predict, you can harness AI to anticipate failures, reduce downtime, and take action before problems arise—no data science degree required.
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