Predictive Maintenance And The Industrial Internet Of Things

Back in 2014 an Accenture report predicted that investment in the Industrial Internet of Things would reach $500 billion by 2020. A combination of cheap sensors, powerful data processing and machine learning has enabled companies to make their industrial processes significantly smarter and more efficient. A good example of this in action comes in the rail industry, where a number of fascinating use cases have emerged in the past year. For instance, Finnish company Sharper Shape have been using drones to map utility networks. They use machine learning to identify trees that are at risk of falling onto power lines.