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How to Overcome the Network Airgap for Predictive Maintenance
Why is air-gapping widely used today? When you deploy your smart machines across factories, you will notice that there are IT security barriers to communicate with your predictive maintenance application via the public internet. While air-gapping certainly helps industrial engineers and IT managers protect their networks against cybersecurity threats, this presents a barrier for machines to send data to the cloud.
11 Signs Your Connectivity Solution Is Hurting Your Predictive Maintenance
IoT connectivity is the backbone of your predictive maintenance solution. It enables a range of sensors to transmit real-time performance data to an application with machine learning and predictive analytics capabilities, so you can extend the life and utility of assets, dramatically reduce costs, and improve safety and compliance. But simply having IoT connectivity isn’t good enough. Right now, there are numerous ways that your connectivity solution could be hindering your predictive maintenance processes and preventing you from maximizing these benefits. A surprising number of OEMs, system integrators, and their customers have learned to put up with sub-par connectivity because they didn’t know there was a better option. Whether you jump into connectivity portals every day or you just need your solution to work, your connectivity solution should make your predictive maintenance solutions more useful, not less. Here are some of the connectivity challenges manufacturers like you are dealing with, plus how emnify helps you resolve them.