Khalid Sayyed is a Maximo Consultant with over 15 years of industry experience, primarily in IBM Maximo and Cognos analytics. He has worked on multiple Maximo implementations and on support/administration projects, leading teams of developers and consultants. He has extensive experience working with IBM Maximo infrastructure & architecture, integrations, administration, upgrade, configurations, customizations, analytics, and end user/admin trainings. Khalid is very passionate about IOT, Data science and its applications to reliability industry for predictive maintenance.
Maximo | IBM Maximo | Maximo Application Suite | Smart Monitoring | Equipment Monitoring | Asset Performance Management | Condition Monitoring | coding
By:
Khalid Sayyed
October 28th, 2025
As urban transit systems expand and become more complex, ensuring the health and efficiency of mission-critical assets is vital to operational continuity. One such asset — the air compressor — plays a critical role in metro rail environments, supporting pneumatic braking systems, HVAC, and automated doors. A seemingly minor issue like an air leak in the pneumatic systems can cause compressors to run excessively, consuming more power, increasing maintenance needs, and leading to avoidable service interruptions.
By:
Khalid Sayyed
April 25th, 2025
As we continue our exploration of the IBM Maximo Application Suite (MAS), our next application in focus is IBM MAS Manage - the heart of Maximo Application Suite, which brings all applications together. In today’s asset-intensive industries, success hinges on the ability to efficiently manage physical assets across their entire lifecycle. Organizations require more than just a static asset register—they need a dynamic, integrated solution that can handle complex workflows, ensure compliance, and drive performance. IBM Maximo Manage, a core application within the Maximo Application Suite (MAS), delivers exactly that.
By:
Khalid Sayyed
November 27th, 2024
As we continue our exploration of the IBM Maximo Application Suite (MAS), our next application in focus is IBM MAS Predict - the crown jewel of MAS and final step in your journey towards predictive maintenance. Predict uses advanced Artificial Intelligence (AI) and Machine Learning (ML) models to forecast asset failures with precision.
By:
Khalid Sayyed
October 30th, 2024
In today’s fast-paced industrial environment, maximizing asset performance and minimizing downtime are crucial. IBM Maximo Health steps in by delivering intelligent, data-driven insights into the real-time condition of your assets, enabling a reliability-centered maintenance (RCM) approach. This not only boosts asset uptime but also enhances efficiency, reduces risks, and protects revenue. With Maximo Health, you gain critical insights into each asset’s Health, Criticality, and Risk - empowering you to make informed maintenance decisions.
By:
Khalid Sayyed
October 15th, 2024
As we continue to push the boundaries of innovation in the reliability industry, it's exciting to see how technology is transforming the way we approach maintenance and asset management. In this blog, I'll be diving into the key features and functionalities of IBM Maximo Monitor, a game-changing application that's revolutionizing the way we collect, analyze, and act on IoT data.