AI, IoT, and Mobile: The Next Frontier in MAS Mobility

A major shift is taking place in the maintenance world. For years, maintenance teams depended on paper checklists, manual logs, and reactive problem-solving to keep assets operational. The introduction of mobile technology changed this, giving technicians access to Maximo directly from their devices, even without network connectivity.

Today, an even more significant transformation is underway. AI and IoT are strengthening mobile capabilities, evolving mobility from a simple information-access tool into an intelligent decision-support companion for every technician.

From Digital Access to Intelligent Action

In the early 2010s, Maximo Mobility focused on digitization. Displaying work orders and inspection data on a mobile device was considered a major advancement. However, the demands of modern maintenance extend far beyond that.

Assets are no longer silent. IoT sensors now capture real-time data related to temperature, vibration, pressure, and more. AI models interpret this data, predict failures in advance, and recommend corrective actions. Instead of merely recording that a pump is deteriorating, the system can now explain the cause, the corrective steps, and the potential consequences of inaction.

The Technician Becomes a Strategist

The role of the technician has evolved from simply reacting to issues to making informed, strategic decisions.

Consider a practical example. A turbine begins to show slight changes in vibration. IoT sensors detect this immediately. AI interprets it as an early indication of a bearing fault. Within seconds, the technician receives an alert on their mobile device. In EAM360, AskMai, the AI assistant, offers guidance based on how similar issues have been resolved in the past.

Equipped with this insight, the technician verifies the readings, brings the appropriate spare part, performs the corrective action, and completes the job, all before a failure occurs. This is maintenance intelligence at work.

This shift enables organizations to:

• Predict and plan for downtime instead of being disrupted by it.
• Make faster decisions supported by data rather than instinct.
• Improve safety by identifying risks before they escalate.

The Road Ahead

AI, IoT, and Mobile are no longer isolated technologies. Together, they form an integrated intelligent ecosystem that enables organizations to listen to their assets, learn continuously, and act confidently.

For maintenance teams, this represents more than digital transformation. It signifies a shift in approach, from reactive to predictive, from effort-intensive to insight-driven. The next stage of MAS Mobility is not about mere connectivity. It is about intelligent cognition happening directly at the edge.

At Sedin, we witness this transformation across industries such as utilities, manufacturing, life sciences, and infrastructure. Every advancement reinforces a single truth: mobility is no longer just about accessing data; it is about applying intelligence where the work happens.