APPLICATIONS
“WE’ RE ENABLING ORGANISATIONS TO ACHIEVE LEVELS OF OPERATIONAL EXCELLENCE AND SAFETY THAT SIMPLY WEREN’ T POSSIBLE BEFORE”
Merry Frayne, Director of Product, Boston Dynamics
Real-time responsiveness Together, edge AI and 5G connectivity promise unprecedented realtime responsiveness in predictive maintenance applications.
Edge AI processing at the device or local node eliminates roundtrip latency inherent in cloud-based systems. Paired with 5G’ s ultra-low-latency connectivity, tasks such as rerouting work, throttling operations or shutting down equipment to prevent damage become feasible in real time.
Research from McKinsey indicates that AI-powered predictive maintenance can reduce downtime by 50 %, reduce breakdowns by 70 % and reduce overall maintenance costs by up to 40 %. These figures stem from documented outcomes resulting from implementations across manufacturing, energy and infrastructure sectors.
As Kriti Sharma, CEO at IFS Nexus Black, says:“ These hardcore industries are where the real AI revolution is happening. It’ s not the AI of tabloid headlines. It’ s the lifeline for the workers that keep the lights on, the cupboards stocked and the world turning.”
For industrial organisations, the question now is how quickly they can implement AI-powered predictive maintenance effectively. With equipment failures carrying consequences far beyond financial costs, the ability to predict and prevent problems before they occur is simply paramount.
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