Workshop on Predictive Maintenance held at IoBM

The Entrepreneurship and Management Excellence Center (EMEC) and the Institute of Business Management (IoBM) organized a workshop on “Advanced Predictive Maintenance Using AI, Data Visualization, and Power BI” on August 27-28, 2025. The workshop facilitators were Mr. Mehboob Karim and Dr. Imran Batada.

Mr. Mehboob Karim, a Subject Matter Advisor for Digital Asset Performance Management (DAPM), is also a registered Professional Engineer in Ontario, Canada, and a senior member of the Pakistan Engineering Council. Dr. Imran Batada is the Chief Digital Officer and Director of the Center for Information and Technology at IoBM.

This two-day workshop provided a practical methodology for implementing the IoT framework using intelligent connectivity of smart devices through the internet. Using real-life case studies, the workshop explained and demonstrated various digital technologies that could be instrumental in building an end-to-end digital maintenance solution. It also helped participants understand how adopting digital technologies could uplift the performance of their critical assets. 

Mr. Talib Karim, President of IoBM, expressed his delight at the workshop’s successful completion. He was hopeful that these initiatives would provide participants with the skills and knowledge needed to add significant value to their professional careers and their organizations.

The workshop aimed to provide participants with a framework to successfully implement IoT and innovative machine concepts to analyze, visualize, and model machine data for timely decision-making. Key topics included: Familiarizing Participants with the Latest Technologies, Enhancing Operational Performance, Optimizing Business Processes, Timely Decision-Making, and Harnessing Data Visualization and Modelling.

The workshop attracted a diverse group of professionals and industry experts, offering them valuable insights from both academic and industry leaders in IoT and maintenance management. Attendees gained practical, hands-on experience by learning about real-world projects with measurable outcomes. The key topics covered included connectivity, where participants learned about sensors and the design of hardware and software; acquisition, which focused on how to gather machine data and notify staff for timely action; data analysis, which involved using cloud services for real-time monitoring; and data visualization, where they were taught to use a Graphic User Interface (GUI) to spot data trends and assist technicians in making informed decisions. The workshop proceedings were facilitated by Umair Kirmani, Business Development Executive.

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