Volume of data is too high and that makes human beings direct involvement in working with data to obtain meaningful inference. Thus the challenge is to bring out hidden truth in a given volume of data at a regular interval of time or continuously.
Modern Deep Learning models are trained to perform real time inference in many cases. Inference to happen in real time there is need for hardware, communication bandwidth, storage capacity , Trained Deep learning Model and necessary sensor interface to the real world. For example IBM Watson services in Data science , IoT and also in AI provides early generation tool sets to create deployment of Intelligent service in Healthcare . However there have been major opportunities open for Private companies to create and sell Health services by using AI and IoT.