Following the money in IoT: Distribute the cloud to the edge
Over the last decade, businesses have been centralizing their IT infrastructure in the cloud. Now, the Internet of Things (IoT) is shedding light on some limitations of this approach – lack of storage, high latency, static environment, etc. – resulting in a shift from the centralized model to distributed model and to the edge for optimal user experience and cost performance.
In the IoT space, it is essential to apply Machine Learning/Artificial Intelligence and analyze an aggregated set of many cross functional and/or domain parameters over time, either from an individual or larger group of sensors, and visualize the results or use them for real-time actuation. For many use cases, sending data to a centrally located datacenter for processing will be too slow and simply cost too much… Read the Full Article