Predictive maintenance is the clearest path to operational efficiency in the Industrial IoT (IIoT) because it avoids expensive downtime, eliminates unnecessary truckrolls, uses human resources more effectively and decreases costs.
In episode 04 of the Let’s Connect! Podcast, Mikko Niemi of Silicon Labs joins host Ken Briodagh to talk about Predictive Maintenance, Human-Machine Interfaces, Asset Management, and all things IIoT.
Mikko and Ken go deep into how AI and machine learning work together to make IoT systems better at predictive maintenance for IIoT. We also dig into the advantages of good human-machine interface and UX design, Digital Transformation at the Edge of the network, and asset tracking for supply chain and cold chain. Finally, Ken can’t resist making a joke about the Miracle on Ice.
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Key Questions and Topics from this Episode:
0:00 Show Introduction
1:00 Mikko Niemi Introduction
3:40 IoT Healthcare and the Miracle on Ice
5:20 The Digital Transformation Revolution
9:15 Asset Tracking and Asset Monitoring
12:45 Supply Chain and Cold Chain
15:00 Predictive Analytics, Maintenance and Monitoring
19:00 Training the Machine Learning Model
22:20 Digital Twin and Edge Networking
27:30 Final Thoughts
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