The Maximo Guys

A complete technical breakdown of every MAS 9 suite add-on that impacts supply chain operations — AI Assist (intelligent search, WO material recommendations, failure-to-parts mapping, document summarization), Parts Identifier (photo-based identification, catalog cross-reference, stock level checks), Health (scores driving demand predictability, replacement procurement, criticality stocking), Predict (failure timing to pre-position parts, RUL-based reservations), Monitor (condition-based orders, IoT consumption tracking, usage pattern analytics), and Optimizer (material-aware scheduling, multi-constraint coordination). The complete AI-to-parts pipeline.

The complete AppPoints licensing strategy and 13-month implementation roadmap for MAS 9 suite applications. Role-based allocation examples, optimization tips, phased deployment with success criteria, and why Phase 0 (data quality) determines everything.

The complete UI transformation in MAS 9 — IBM Carbon Design System replaces all Maximo skins, field labels move above fields, CSS class names changed between releases, and custom CSS is unsupported. What your users need to know before they log in.

How MAS 9 replaces Start Centers with Operational Dashboards, Result Set Portlets with Work Queues, and unlocks Graphical Scheduling for free. Complete coverage of card types, KPI Manager, Work Queue configuration, and the 8 scheduling applications now included in base Manage.

A comprehensive deep dive into the six MAS 9 Industry Solutions — Aviation (MSG-3, Airworthiness Directives), Transportation (fleet lifecycle, linear assets), Utilities (grid management, smart meters), Oil & Gas (process safety, turnarounds), Nuclear (tech specs, surveillance testing), and Civil Infrastructure (NBI bridge inspection, Large Vision Models). Regulatory frameworks, AppPoints licensing, and what changed from 7.6.

How MAS 9 transforms integration with JSON API as primary, Kafka for event streaming, and RMI deprecated. Plus the painful BIRT-to-Cognos reporting migration — no automatic conversion, every report recreated from scratch.

A complete breakdown of the MAS 9 licensing restructure — five previously paid modules now included free, what still requires separate licensing, AppPoints optimization strategies, and why your organization may be overpaying for licenses it already owns.

Everything you need to know about Maximo Health — asset health scoring from 0 to 100, degradation curves, Asset Investment Optimization (AIO), risk matrix, criticality scoring, data requirements, and industry use cases. The first suite application every organization should deploy.

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.

How Maximo Predict uses machine learning to predict failure dates, estimate remaining useful life, and detect anomalies — with Cox Proportional Hazards, Weibull survival analysis, and watsonx.ai integration. Data requirements, model pipeline, and why data science skills are mandatory.

A complete deep dive into every MAS 9 Maximo Mobile supply chain application — Issues & Transfers (staging, barcode, storeroom transfers), Inventory Count (cycle counts, blind mode, photo attachment), Receiving (PO-based, rotating assets, MAS 9.1 enhancements), Technician App material features, full offline capabilities, and the migration path from Maximo Anywhere.

The final installment of the MAS FEATURES series. A numbers-first deep dive into IBM MRO Inventory Optimization — 23 AI-powered capabilities, Essentials vs Standard comparison, 7 competitor profiles (Syncron, Baxter, Servigistics, IFS, Infor, Verusen, Kinaxis), a feature comparison matrix, decision framework, and the complete 12-month, 5-phase implementation roadmap with 425 hours of team exploration across 14 topic areas.

A complete technical breakdown of IBM Maximo MRO Inventory Optimization (AI-calculated ROP/MAX, demand forecasting, what-if analysis, Essentials vs Standard tiers) and Health Safety & Environment Manager (50+ applications across 6 modules — Incident Management, Permit to Work, Emissions, Operations Management, MOC, and Workforce Competency). Everything you need to evaluate, budget, and implement.

Everything that changed under the hood in MAS 9 — the architecture shift from WebSphere to OpenShift, Java 17 migration impact, sealed databases, containerized deployment, and what your infrastructure team needs to learn. The technical foundation every upgrade team must understand.

Every detail of MAS 9 procurement (Desktop Requisitions, PRs, POs, RFQs), all 10 contract types, receiving and inspection workflows, specialized inventory (rotating assets, condition-enabled, consignment, service items), cost accounting methods, lead time calculation, item status lifecycle, reorder processing, and the RBA gap that still forces classic apps.

A complete breakdown of Maximo Renewables (Prescinto), TRIRIGA Real Estate & Facilities Management, and the connector ecosystem for SAP, Oracle, Workday, watsonx.ai, and more. Three modules, three integration layers, zero 7.6 equivalents — and why they represent where IBM is betting the future of MAS.

How automation scripts survive Java 17, the free Reliability Strategies Library with 800+ equipment types, AI-powered natural language queries in Manage 9.1, and enhanced qualifications management. The tools that make MAS 9 yours.

How MAS 9 transforms security with mandatory SAML/OIDC/LDAP authentication, Suite-level SSO, API Key management, and Cert-Manager auto-rotation. Plus the deprecation of Google and Bing Maps in favor of OpenMap and ArcGIS integration.

A 4-part series breaking down every major feature change in MAS 9 — from Manage core platform transformation, to suite AI applications, paid add-ons and industry solutions, and the supply chain revolution. Your team's complete upgrade reference.

A deep dive into four MAS 9 paid add-ons — Maximo Spatial for GIS-driven asset management, Service Provider for multi-tenant outsourced maintenance, Asset Configuration Manager for complex regulated assets, and Maximo IT for unified OT/IT service management. Prerequisites, use cases, and what changed from 7.6.

Why MAS 9 is an entire Application Suite, not a Maximo upgrade. The integrated data pipeline from sensors to scheduling, how Manage is the hub, and why integrated value is multiplicative — not additive. The most important concept for your upgrade team to understand.

Complete coverage of MAS 9 supply chain architecture -- the three-tier licensing model, 7.6 vs MAS 9 comparison, inventory module with eight transaction types, six item master types, storeroom hierarchies, reservation system, count books with six selection methods, ABC analysis, and the full issues and transfers lifecycle. Every detail your supply team needs.

How Maximo Visual Inspection automates defect detection with image classification, object detection, anomaly detection, and OCR — all without data science skills. Edge deployment on NVIDIA Jetson, Large Vision Models in 9.1, and real-world use cases from manufacturing to utilities.

Work Centers were removed entirely in MAS 9 — replaced by Role-Based Applications built on React/MAF with no automatic migration. This is the most impactful change for daily users. Complete WC-to-RBA mapping, gap analysis, migration strategy, and timeline estimates.

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.