9 part series
The definitive 8-part series on IBM Maximo Predict. From data foundations to enterprise governance, everything you need to deploy AI-powered predictive maintenance.
Cut through the hype. Learn what IBM Maximo Predict actually does, how it fits into MAS, and why predictive maintenance is not the crystal ball vendors promise.
Your predictive models are only as good as your data. Learn the 5 data types, 5 quality dimensions, and 5 deadly sins that determine Maximo Predict success.
Step-by-step guide to deploying Maximo Predict in MAS. Entitlements, configuration, data connections, scope definition, and selecting a use case that wins.
The complete guide to model development in Maximo Predict. Model types, feature selection, training, validation, quality metrics, and what to do when your first model is terrible.
Building the model is half the job. Learn how to deploy, monitor, retrain, and build feedback loops that keep your Maximo Predict models accurate over time.
Predictions without integration are dashboards nobody uses. Learn the end-to-end data flow from sensors to work orders across MAS applications.
Stop guessing which use cases work. Real-world Maximo Predict patterns across 4 industries with specific assets, failure modes, data sources, and measurable results.
Technology does not fail. Programs fail. Learn the governance, change management, and adoption strategies that separate successful Maximo Predict deployments from expensive shelf-ware.
