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Predict before you repair: Using data and AI to transform maintenance
A practical session on predictive repairs and maintenance. How can repairs history, property characteristics, component data, sensor information and other datasets be combined to identify likely failures, prioritise interventions and move from reactive to preventative maintenance? This panel will discuss what has worked, where predictive models have fallen short and how organisations have seen a genuine operational and resident benefit.