Advanced Predictive Maintenance Using AI, Data Visualization, and Power BI
Workshop
Program Overview
Effective asset management maximizes asset performance and minimizes operations and maintenance costs. Maintenance professionals must stay current on the latest strategies, methodologies, and technologies to achieve these goals. One trend in the maintenance industry that cannot be ignored is predictive maintenance using the Internet of Things (IoT), data, and AI.
Asset-intensive organizations are adopting predictive maintenance along with data and AI solutions to reduce costs and the frequency of maintenance activities. IoT platforms provide good support for predictive maintenance, as they can integrate information from different machines and manufacturing systems to predict failures. By using these technologies, organizations can realize significant improvements, including a 25% reduction in maintenance costs and a 50% increase in equipment uptime.
In addition to IoT and AI, data analytics and business intelligence tools like Power BI are becoming crucial in enabling effective predictive maintenance. By leveraging Power BI, organizations can visualize machine health data, spot trends, and make informed decisions that improve maintenance strategies and asset management. These data-driven insights empower maintenance teams to anticipate issues before they arise and optimize resource use.
The Workshop
This two-day workshop provides a practical methodology for implementing the IoT framework using intelligent connectivity of smart devices through the internet. Using real-life case studies, the workshop will explain and demonstrate various digital technologies that can be instrumental in building an end-to-end digital maintenance solution. It will also help participants understand how adopting digital technologies can uplift the performance of their critical assets.
Additionally, the workshop will cover practical aspects of data analytics and business intelligence as they are mandatory for predictive maintenance, such as:
- Constructing professional-grade maintenance-focused business intelligence reports to track equipment health and performance.
- Transforming raw machine data into interactive dashboards that provide real-time insights into machine status, helping technicians and managers make data-driven decisions.
- Demonstrating proficiency through hands-on course projects, where participants will apply data visualization and analysis techniques to real-world maintenance scenarios.
- Gaining a comprehensive understanding of the business intelligence workflow tailored to maintenance processes, from data collection through IoT devices to actionable insights that optimize asset management.
Learning Objectives
The workshop aims 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 include:
- Familiarizing Participants with the Latest Technologies: Learn about the cutting-edge maintenance technologies, including industrial challenges, digital transformation, and CMMS.
- Enhancing Operational Performance: Discover how predictive maintenance can reduce facility costs and improve factory or supply chain performance.
- Optimizing Business Processes: Focus on outcomes and long-term strategies to optimize maintenance and reduce costs.
- Timely Decision-Making: Leverage IoT connectivity to visualize machine health data and avoid catastrophic failures.
- Harnessing Data Visualization and Modelling: Introduction to data visualization tools like Power BI to visualize trends, analyze performance, and support decision-making. Explore data modelling techniques to optimize predictive maintenance processes.
Additional Key Learning Topics
By attending this workshop, participants will acquire knowledge from industry experts and academicians in IoT and maintenance management and learn from actual projects performed with measurable results. The participants will get practical hands-on information on essential topics, including, but not limited to:
- Connectivity – Learn about sensors and gain knowledge of hardware and software design.
- Acquisition – Acquiring machine data and sending notifications to maintenance staff on machine health to take timely action.
- Data Analysis – Use cloud services to monitor machine operation in real-time.
- Data Visualization – Using a Graphic User Interface (GUI) to determine data trends to help technicians make decisions.
- Drive Tangible Benefits – The participants will learn skills to achieve the following tangible benefits for their companies:
- Reduce Maintenance Costs by 15%
- Improve Machine Uptime by 10%
- Increase Asset Utilization by 15%
- Decrease Inventory Cost by 25%
- Reduce Safety, Health, Environment and Quality Risks by 15%
Program Fees
PKR RS. 35000/-
(Exclusive of Tax)
Last Date to Apply
August 13, 2025
Date
August 20th & 21st, 2025
Duration
8:30 am – 5:00 pm
Venue
EMEC @IoBM, Karachi
Registration
Program Facilitators
Mehboob Karim. P.Eng.
Mr. Karim is a Subject Matter Advisor for Digital Asset Performance Management (DAPM). He has over thirty years of experience in asset and operations management, of which the last eight years have been in Digital Asset Performance Management. As part of his role, he provides strategic leadership and support to organizations undertaking digital asset performance initiatives. He has worked with both private and public sector industries in Canada, the USA, and Australia.
As a Senior Advisor, Mr. Karim offers direction on reliability improvement projects using asset management solutions and tools such as Asset Criticality and Risk Assessments, Spare Parts Criticality, Stocking Strategies, Maintenance Management Practice Assessments, Supply Chain and Operations Management, Business Case Studies, Reliability Centered Maintenance, Enterprise Asset Management (EAM), and Asset Performance Management (APM) Systems.
Mehboob Karim is a Registered Professional Engineer in the Province of Ontario and a senior member of the Pakistan Engineering Council. He holds certifications in Supply Chain and Operations Management (CISCOM), APM, and Meridium Solutions (GE Digital).
Mr. Karim is the recipient of the Sergio Guy Award 2005, presented by PEMAC (www.pemac.org) to recognize outstanding engineering and maintenance practitioners in Canada.
Dr. Imran Batada
Dr. Imran Batada is a seasoned leader with over 24 years of experience driving organizational strategy, policy development, digital innovation, and research excellence. Currently serving as the Chief Digital Officer & Director Center of Information & Technology at IoBM, he previously held the position of CIO & Director Center for ICT at IBA Karachi.
Dr. Batada is the author of “Digital Pakistan,” a roadmap for the government, industry, and academia for digital transformation. He is a respected industry leader on the topics of digital transformation, innovation, and leadership and is frequently invited to speak at conferences and events.
Dr. Batada has provided consultancy services to private and public sector organizations, and is also a well-known educator who has taught at various prestigious universities in Pakistan.
Dr. Batada is committed to giving back to society. He founded the Sindh Research Incubation Centre (SRIC) and partnered with government and donor agencies to launch youth training programs. Under his leadership, over 10,000 students have been trained, boosting Pakistan’s freelancer economy and contributing to GDP growth.
Dr. Batada’s expertise and leadership in technology have earned him numerous accolades, including the World CIO 200 Awards (LEGEND) by the Global CIO Forum from 2020 to 2024 and the Living Legend Excellence Award by Ideal Excellence Award in 2018. He has also served on various boards, including FPCCI, P@SHA, PAFLA, ICAP-DAAB, and PIPFA.
Dr. Imran Batada has trained over 2,000 industry professionals in Data Analytics over the past few years.
