Deep learning-based AI, such as Chat-GPT, requires massive amounts of data to train itself. Over the next few decades, AI based on similar principles will be fed data from diverse sources to enable it to make decisions and predictions in real-time.
Consider, for example, buildings that can anticipate the needs of the occupants, regulating light and temperature before even the onset of discomfort. Clearly, the data needs to come from tracking and sensors.
Wirepas is fantastic for this application: devices can be battery-powered, which massively reduces the cost of retrofitting. And they cost much less than comparable devices with cellular or wide area network capabilities.
Watch this space!
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