25 October 2018
Connected devices are getting smaller, cheaper, and more specialised. While connected systems as a whole are getting more intelligent, the actual processing power of these devices is not expanding at the same rate - opening up a host of issues for enterprises wanting to enter the IoT, or expand their current IoT fleet.
The development of new network technologies will require a new way of processing data from a huge range of sources, and communication between multiple systems (even in one enterprise) will soon become too complex to be easily managed. Therefore, the telecoms environment could be the ideal testing ground for artificial intelligence, with huge amounts of data that AI can use.
By building on these two technologies ‘self-learning’ networks of IoT devices can be created. With real-time access to such a huge pool of data, AI can then be applied to any number of mission-critical environments, with the confidence that it has been tested in a controlled environment.