Using Cellular IoT for Predictive Maintenance

Explore the potential of cellular IoT technology and embedded machine learning for developing predictive maintenance applications in this 47-minute webinar. Discover how to reduce costs and downtime by predicting failures and scheduling maintenance proactively. Gain insights into various Low Power Wide Area Network technologies, the current cellular IoT landscape, coverage, rollout, and future prospects. Understand the distinctions between low-power cellular IoT and Cat 1 bis, and their specific applications. The webinar covers topics such as the LPWAN landscape, LTE-M and NB-IoT coverage, cellular evolution from 2G to 5G, types of maintenance, benefits of predictive maintenance, considerations for implementing machine learning, and power consumption comparisons. Includes a Q&A session and offers access to downloadable presentation materials.

Practicalities and agenda
Introduction
Current LPWAN Landscape 
LTE-M and NB-IoT Coverage Map 
 LTE IoT Technologies overview 
Are Cat 1 bis suitable for massive IoT deployments? 
Cellular evolution 2G to 5G 
LTE categories evolution 
What will happen with 2G/3G/4G 
Different types of maintenance
Predictive maintenance overview 
Where would it make sense to use predictive maintenance? 
Why use cellular IoT for predictive maintenance? 
Process data on the cloud or device side? 
What to consider when implementing ML 
Benefits of using ML in predictive maintenance 
Cellular radio power consumption 
Break-even comparison - LTE vs. CPU 
The advantages of nRF9160 SiP 
Q&A