Using cellular IoT for predictive maintenance

Learn how to leverage cellular IoT technology and embedded machine learning to develop predictive maintenance applications. In this webinar, you will learn how to reduce costs and downtime by predicting failures and scheduling maintenance before a breakdown occurs. We will also investigate the different Low Power Wide Area Network technologies currently available, the current landscape of cellular IoT, coverage, rollout, and the future of this technology. There is also essential to distinguish between low-power cellular IoT and Cat 1 bis, and what these technologies are designed to solve. 0:00 Practicalities and agenda 2:25 Introduction 2:40 Current LPWAN Landscape  5:20 LTE-M and NB-IoT Coverage Map  6:15 LTE IoT Technologies overview  8:57 Are Cat 1 bis suitable for massive IoT deployments?  12:00 Cellular evolution 2G to 5G  13:29 LTE categories evolution  14:14 What will happen with 2G/3G/4G  15:53 Different types of maintenance 18:14 Predictive maintenance overview  19:34 Where would it make sense to use predictive maintenance?  21:45 Why use cellular IoT for predictive maintenance?  23:11 Process data on the cloud or device side?  25:30 What to consider when implementing ML  28:19 Benefits of using ML in predictive maintenance  29:07 Cellular radio power consumption  30:58 Break-even comparison - LTE vs. CPU  32:24 The advantages of nRF9160 SiP  34:50 Q&A This is a recording of a webinar held on February 8, 2023. The presentation can be downloaded here (direct download): https://devzone.nordicsemi.com/cfs-file/__key/communityserver-discussions-components-files/4/Using-Cellular-IoT-for-Predictive-Maintenance.pdf #cellularIoT #machinelearning