Case Study: MBNL spots 52% of network tower failures before they happen with Kortical

MBNL spots 52% of network failures before they happen with Kortical

The customer, mobile network infrastructure provider MBNL, faced the challenge of proactively maintaining 22,000 towers across the UK to prevent costly emergency repairs and downtime. They partnered with vendor Kortical to implement a predictive maintenance solution using the Kortical ML Platform to forecast equipment failures before they occurred.

Kortical built over 50,000 machine learning models by analyzing disparate datasets, including support tickets and equipment data. The solution developed by Kortical successfully predicted 52% of equipment failures more than a month in advance. This proof of value was achieved in just six weeks, leading to a live pilot with the goal of integrating the AI into MBNL's business-as-usual processes.

MBNL