Intelligent / Cognitive Automation
Cognitive automation, also sometimes referred as intelligent or smart automation is the fasted growing field within automation. As automation is mainstream business now, any discussion on RPA would surely get into conversation about Intelligent/Cognitive automation.
What is Intelligent Automation
While automation is old as the industrial revolution, digitization greatly increased activities that could be automated. Initial tools for automation, which includes scripts, macros (also read: https://www.luceats.com/macros-powershell-scripts-and-rpa/) and robotic process automation (RPA) bots, focus on automating simple, repetitive processes. This makes sense because most core corporate processes are quite repetitive but not repetitive enough to completely take human out of the loop with simple programming. However, as those processes are automated with the help of more programming and better RPA tools, processes that require higher level cognitive functions are next in the line for automation.
Key capabilities for Cognitive Automation
Optical Character Recognition (OCR): Despite increased digitization, a mind-bogging amount of paper is still used, especially in heavily regulated industries like pharmaceuticals and healthcare. Processing these papers are required to automate any process end-to-end.
Natural language processing (NLP): Even basic language understanding makes it much easier to automate most customer service processes or processes involving contracts.
Machine learning: Processes require decisions. If those decisions cannot be formulated as a set of rules, machine learning solutions are required to replace human judgement with machine judgement and automate processes.
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