AI for asset management and predictive maintenance

Join this webinar to explore how AI can enhance decision-making based on the asset information you collect across sensors and IoT devices in your organisation.

Ajith Parlikad, Professor of Asset Management, IfM, will cover how organisations can leverage AI to optimise operations, reduce downtime, and enhance overall efficiency.

Through analysing historical data, current performance metrics, and even external factors, organisations can predict when maintenance is actually needed, rather than relying on a rigid predefined schedule. Some of the benefits of this include:

• Avoid unnecessary downtime and reduce the costs associated with reactive maintenance.
• Identify potential issues before they become critical, minimise the risk of accidents caused by equipment failure, creating a safer working environment for employees.
• See cost savings and maximise the lifespan of assets by allocating resources based on a flexible maintenance schedule of actual need.