The Maximo Guys

Maximo Anywhere is gone — replaced by Maximo Mobile built on React.js with PWA deployment, server-side updates, and full offline sync. Complete coverage of all 7 mobile apps, Technician features, GPS sharing, barcode enforcement, and the Anywhere-to-Mobile migration path.

Complete guide to Maximo Monitor — the IoT platform for real-time asset monitoring with MQTT/REST ingestion, custom dashboards, anomaly detection, Python streaming analytics, edge data collection, and automated work order generation. Your assets have been trying to tell you something.

Technology does not fail. Programs fail. Learn the governance, change management, and adoption strategies that separate successful Maximo Predict deployments from expensive shelf-ware.

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.

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.

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.

Step-by-step guide to deploying Maximo Predict in MAS. Entitlements, configuration, data connections, scope definition, and selecting a use case that wins.

Stop guessing which use cases work. Real-world Maximo Predict patterns across 4 industries with specific assets, failure modes, data sources, and measurable results.

Predictions without integration are dashboards nobody uses. Learn the end-to-end data flow from sensors to work orders across MAS applications.

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.

The definitive 8-part series on IBM Maximo Predict. From data foundations to enterprise governance, everything you need to deploy AI-powered predictive maintenance.

Model lifecycle management, retraining schedules, quality governance, scaling across sites, and the organizational change that makes or breaks enterprise visual inspection programs.

The complete MVI model-building workflow. Data collection strategies, image labeling best practices, training configuration, accuracy metrics interpretation, and iterative improvement.

How computer vision works for asset inspection without the PhD. Classification, detection, segmentation explained. No-code model building in MVI demystified.

Get your MVI model out of the lab and into the field. Inference pipelines, confidence threshold tuning, false positive management, A/B testing, and production monitoring.

Everything you need to plan MVI infrastructure. Five deployment options (SaaS, on-prem, Azure, client-managed), NVIDIA GPU requirements, storage sizing, and AppPoint licensing explained.

Deploy MVI Edge for real-time inference at the camera location. MQTT alert pipelines, edge diagnostics, hardware selection, drone integration patterns, and field deployment strategies.

Complete MVI installation walkthrough. Prerequisites checklist, MAS 9.0/9.1 changes, operator deployment, GPU configuration gotchas, verification, and your first 30-minute project.

Connect MVI to Maximo Manage for automated work orders, Health for condition scoring, Monitor for visual alerts, and Predict for failure enrichment. The closed-loop inspection architecture.

What IBM Maximo Visual Inspection is, why computer vision is transforming asset inspection, and how MVI fits into the MAS ecosystem. Real use cases with real numbers.

Deploy MVI to the field with MVI Mobile on iOS/iPadOS. Core ML export, on-device inference, device requirements, offline workflow, and mobile deployment best practices.

Complete REST API reference for IBM Maximo Visual Inspection. Authentication, endpoints, code examples, automation patterns, and the vision-tools CLI.

The definitive 12-part series on IBM Maximo Visual Inspection. From computer vision fundamentals and model building to mobile, edge, and drone deployment, enterprise governance, REST API reference, and troubleshooting.

The definitive troubleshooting guide for IBM Maximo Visual Inspection. GPU configuration, training failures, deployment issues, mobile and edge problems, integration errors, and answers to every FAQ.

Five practical AI use cases for Maximo with ROI frameworks: work order intelligence, predictive maintenance, visual inspection, conversational AI, and data quality improvement.

A strategic guide to MAS 9 data migration covering quality assessment, 4-phase cleansing, phased loading, and validation for one of the most underestimated parts of migration.

How to architect MAS as a strategic platform, not just an application. Multi-cloud deployment, integration patterns, security, HA/DR, and governance for enterprise asset management.

A forward-looking view of where Maximo may head through 2040: AI agents, digital twins, more autonomous workflows, and the five-stage EAM evolution from reactive to increasingly autonomous operations.

Learn how to modernize Maximo integrations for MAS 9 with API-first REST, GraphQL, Kafka event-driven patterns, and phased migration from legacy database access.

A comprehensive 6-phase migration playbook for moving from Maximo 7.6.x to MAS 9, covering assessment, rationalization, data prep, build, test, and go-live.

A complete guide to troubleshooting IBM MAS SaaS without backend access -- the three-layer control model, evidence collection, IBM Support escalation, and proactive monitoring.

A technical deep dive into MAS 9 architecture covering OpenShift, containers, Kubernetes operators, and microservices decomposition for Maximo architects and admins.

Learn why some legacy Maximo 7.6.x assumptions become constraints in MAS 9, and what mindset changes help teams adapt to API-first, event-driven, configuration-over-code EAM.

Deep dive into IBM Maximo Mobile architecture, shell-based Graphite apps, offline-first strategy, and why many organizations see stronger adoption than with custom native apps.

A detailed case study of a 22-month, $4.2M Maximo 7.6 to MAS 9 migration. Data archival, customization conversion, OpenShift learning, integration rewrites, and change management.

Learn why legacy Maximo customization patterns like custom Java MBOs, database triggers, and direct SQL create supportability issues in MAS 9, and discover the modern replacements.

A practical guide for Maximo integration developers transitioning from MIF-centric patterns to event-driven architecture in MAS 9. Mapping MIF concepts to modern equivalents.

A guide for Maximo technical professionals navigating the transition from legacy 7.6 to MAS 9. For developers, integration specialists, and admins adapting to a cloud-native operating model.

A practical guide for Maximo application developers transitioning from 7.6 customization patterns to MAS 9 extensibility. Automation scripts, MBOs, UI development, and what changes.

A guide for legacy Maximo administrators transitioning to MAS 9. Understanding the shared responsibility model, new operational patterns, and the path to platform engineering.

Learn how to leverage AI capabilities in IBM Maximo to improve asset management and predictive maintenance.