An application of machine learning technologies to automation is known as cognitive automation, which takes over manual labour for tasks that would otherwise require manual input.
Consequently, businesses can achieve a higher level of operational efficiency by enhancing their workflows beyond current automation technologies. For example, study results from McKinsey found that cognitive automation tools allow companies to:
The evolution of automation is being aided by cognitive automation – a reason for digging deeper into cognitive automation and how it differs from traditional processes.
In traditional RPA, processes are usually automated with a minimum of contextual analysis and contingencies (which may or may not involve structured data).
Specifically, cognitive automation relies on machine learning and deep learning, subfields of machine learning. Therefore, a basic understanding of fundamental concepts is important to understand what can be accomplished through such applications.