Autonomous transport come in various forms such as cars, trucks, unmanned aerial vehicles (drones), or agricultural machinery. Examples in Google and Tesla vehicles, and several automotive start-ups aim at extending the usage of AI are Argo.ai, Drive.ai, nuTonomy, Otto, Preferred Networks, and Zoox.
Internet-based computing that provides shared processing resources and data to computers and other devices on demand. Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility (like the electricity grid) over an electricity network. The internet browser is the central accessing point for cloud computing power.
Since new sensors and IoT devices can be integrated in production processes and operations, the availability of data increases drastically. AI-based algorithms are capable of recognizing errors and differentiating the noise from the important information to predict breakdowns and guide future decisions.
“Predictive maintenance strategies are based on the combination of traditional condition monitoring enhanced with analytics algorithms, thus enabling the prediction of machine failures before they occur.” https://iot-analytics.com