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Deep Learning is more of an extension to Machine Learning where the outcomes of Machine Learning analysis is consumed, compared against a set of Neural Network paradigms with a larger set of data sets, to enable a more human like
This is an essential attribute for a machine to possess when it comes to interoperability with Humans and Machine to Machine communications. This is an ensemble of paradigms that allows a machine/computer to adopt problem solving skills like humans, by
Use of Robotic Process Automation and Natural Language Processing has enabled a number of scenarios where a lot of repetitive tasks as well scheduled tasks, currently managed by manual labours, can be easily orchestrated and automated using frameworks such as
IoT and AI can be consumed in the realm of Digital Transformation through Computer Vision as a technology enabler. For Example: In Buildings today, people install CCTV cameras and devices to track and monitor the people flow within and around