Michael UngarCEO of the Industry 4.0 Club

Unlocking IoT Insights: Real-Time Equipment Monitoring

7 Aug 2025 · 1 min

Watch on YouTube

0:38

In this presentation, the speaker recounts a four‑year partnership focused on creating an IoT platform that provides real‑time asset and condition monitoring for industrial equipment. Early work involved digital/device training, a capability the team had not previously delivered in this domain. The core business problem was to give customers visibility into equipment details and performance at every stage of operation. Over time the team evaluated the data‑maturity of each customer’s machines, enabling them to aggregate and standardize data across diverse assets. With that foundation they are now moving toward predictive failure analytics, using the collected data to forecast equipment breakdowns and thereby help customers improve maintenance planning and operational efficiency.

Chapters

When we started this relationship 4 years back, I think the device training, as I said, or digital training, probably we haven't done that kind of work with the— in the similar domain industry where we were creating an IoT platform for real-time asset monitoring and conditioning monitoring. But here the business problem was to able to view their equipment details and how they are performing at each stage. And I think what we learned at this stage where we are— we have understand the data maturity of from all their customers, from all different machines, and we can now use that data to start doing the prediction failure for some of the equipments, and that would really help their customers too.