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Khalid Sayyed

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.

Blog Feature

By: Khalid Sayyed
February 13th, 2023

With Maximo Application Suite, IBM is providing Maximo users the power of connected devices and AI, completely integrated within the platform of Maximo application suite. In this blog, I intend to provide you with a comprehensive process and data flow for implementing predictive maintenance models in Maximo Predict. AI/ML models will predict asset failures based upon current condition of the assets, helping customers to move from a “Preventive” to “Predictive” Maintenance Strategy.

Blog Feature

By: Khalid Sayyed
January 27th, 2023

Maximo Application Framework Configuration Application (MAF Config App), a UI Configuration Tool, was introduced by IBM to configure Maximo Mobile applications. Support for Health & Predict was introduced with Maximo Application Suite and IBM is continuously adding more features with their latest MAS releases. Maximo Mobile, Health & Predict applications are built with IBM's Graphite Framework and Carbon Design component.