10. Predictive Maintenance in Real World Applications
The last decade saw the rise of predictive maintenance: the ability to anticipate failure and better plan for maintenance operations thanks to machine learning. However, 2020 should be a symbolic year as solutions are becoming much more accessible. For instance, engineers can acquire development boards and start writing companion apps in a few minutes without worrying about cloud security, server farms, or computational throughput. Industrial actors are no longer simply thinking about predictive maintenance but actively implementing it.