The Maximo Guys

How to scale Maximo Health from pilot to enterprise program. Rollout strategies, governance structures, common pitfalls, and real-world patterns from organizations that made Health permanent.

How to structure health components, map indicators, set weightings, define thresholds, and model criticality in Maximo Health. Includes safety-critical vs production-critical strategy patterns.

How to design Maximo Health dashboards for executives, reliability engineers, and planners. Core KPIs, drill-down patterns, and portfolio views that turn health data into decisions.

Deep dive into the Maximo Health data model -- how condition indicators, component scores, and weightings transform raw maintenance data into actionable health and risk metrics.

Step-by-step guide to enabling IBM Maximo Health in MAS -- prerequisites, activation, security configuration, asset onboarding, and the verification checklist that proves it actually works.

How to feed real-time IoT telemetry from Maximo Monitor and failure predictions from Maximo Predict into your Maximo Health models. Architecture, data flows, and governance.

Discover how IBM Maximo Health transforms scattered maintenance data into actionable health scores and risk indicators. Stop guessing which assets need attention first.

An 8-part series on IBM Maximo Health covering health scoring, criticality modeling, Monitor and Predict integration, dashboards, automation, and governance for data-driven asset decisions.

Configure intelligent alert rules, severity-based escalation, multi-channel notifications, and automated work order creation in IBM Maximo Monitor.

Implement built-in analytics, custom Python functions, anomaly detection with Isolation Forest and LSTM, and ML-powered predictive maintenance in Maximo Monitor.

Real-world Maximo Monitor case studies with measured ROI across manufacturing, utilities, energy, transportation, and facilities -- plus battle-tested implementation best practices.

Design effective Maximo Monitor dashboards with time-series charts, KPI cards, drill-downs, and role-based views that turn IoT data into operational decisions.

Master MQTT and HTTP protocols for IoT data ingestion, device type design, bulk registration, gateway architecture, and data quality validation in Maximo Monitor.

Step-by-step guide to deploying IBM Maximo Monitor, connecting your first IoT device via MQTT, and building your first operational dashboard.

Master Maximo Monitor REST APIs, Python SDK, webhook patterns, and enterprise integration with Manage, data lakes, ERP systems, and custom applications.

Learn what IBM Maximo Monitor is, how its IoT architecture works, and why it transforms reactive maintenance into predictive intelligence for enterprise assets.

Master IBM Maximo Monitor from zero to production. Our 8-part series covers IoT data ingestion, dashboards, AI analytics, alerts, and enterprise integration.

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 proven 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 -- the #1 reason MAS migrations fail.

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.

Where Maximo is heading through 2040: AI agents, digital twins, self-healing assets, autonomous maintenance, and the five-stage EAM evolution from reactive to 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 complete guide to the Maximo Integration Framework — Object Structures, Enterprise Services, Publish Channels, Invocation Channels, Interface Tables, and JMS queues. Understanding the foundation helps you navigate the transformation to modern MAS integration patterns.

How MAS transforms Maximo integration from MIF-centric XML processing to an API-first architecture built on REST, OSLC, and cloud-native microservices. The architectural foundation for every modern Maximo integration.

Building enterprise-grade integration pipelines with IBM App Connect Enterprise, Apache Kafka, cloud platform connectors, and iPaaS solutions. How to orchestrate complex data flows between MAS and your enterprise ecosystem.

Migrating legacy Maximo-to-ERP integrations from MEA, direct database links, and MIF enterprise services to modern API-mediated patterns. Specific guidance for SAP S/4HANA, Oracle EBS, and Oracle Cloud integrations with MAS.

How MAS transforms Maximo's legacy publish and invocation channels into modern event-driven integration patterns using webhooks, Kafka event streams, and asynchronous messaging. A side-by-side mapping from old to new.

Securing MAS integrations with OAuth 2.0, mTLS, API management, and webhook verification. Building governance frameworks for API lifecycle management, audit trails, and compliance. Plus the future vision: AI-assisted integration and autonomous data flows.

The complete guide to modernizing your Maximo integration architecture. Eight parts covering the transformation from MIF, enterprise services, and publish channels to REST APIs, event-driven patterns, Kafka, and App Connect.

How MAS connects physical assets to digital systems through Maximo Monitor, MQTT protocols, IoT sensor data streams, real-time anomaly detection, and condition-based maintenance triggers. The integration frontier that legacy Maximo could never reach.

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 hands-on technical deep dive into the MAS REST API — authentication, CRUD operations, complex queries, bulk operations, attachments, action invocations, and error handling. Complete with code examples in curl, Python, and Node.js.

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.

Discover why legacy Maximo 7.6.x patterns fail in MAS 9. Learn the cloud-native mindset shift required for API-first, event-driven, configuration-over-code EAM.

Deep dive into IBM Maximo Mobile architecture, shell-based Graphite apps, offline-first strategy, and why it achieves 92% adoption vs 18% for custom native apps.

An unvarnished 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 fail 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 mindset shift from legacy 7.6 to MAS 9. For developers, integration specialists, and admins facing the cloud-native transformation.

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.