Freely subscribe to our NEWSLETTER

For industries whose operations are heavily reliant on IoT devices, even one failure can trigger a chain reaction, shutting down entire systems and driving up costs. This raises the question of whether AI-powered predictive maintenance is the key to unlocking IoT’s full potential without increasing the risk of downtime.

Iain Davidson, Senior Product Marketing Manager at Wireless Logic, says IoT sits at the heart of both predictive maintenance and long-term resilience:

“In any operation, unplanned downtime is a strategic risk. It can shorten machinery lifespan, increase costs and disrupt production across the business. As networks become more complex and devices more distributed, relying on reactive maintenance alone is no longer enough.

“Mitigating these risks means building automation and resilience into IoT environments from the start. AI-driven predictive maintenance tools can spot unusual activity early, preventing failures at a speed that manual monitoring simply can’t match. This is equally true in production lines as it is in IoT networks. These tools also extend protection beyond internal issues by detecting behaviours linked to external threats. With centralised log management and automated alerts, enterprises can respond faster and with greater confidence. This empowers operations teams to make the most of IoT without compromising reliability.

“Embedding high availability, security and automation into every layer helps minimise disruption and protect productivity. The real value of IoT lies in its ability to keep operations running, even under pressure.”