12 part series
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.
A technical deep dive into MAS 9 architecture covering OpenShift, containers, Kubernetes operators, and microservices decomposition for Maximo architects and admins.
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.
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.
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 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.
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 complete guide to troubleshooting IBM MAS SaaS without backend access -- the three-layer control model, evidence collection, IBM Support escalation, and proactive monitoring.
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.
Five practical AI use cases for Maximo with ROI frameworks: work order intelligence, predictive maintenance, visual inspection, conversational AI, and data quality improvement.
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.
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.
