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All About Cognitive Computing

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Michel Smith
All About Cognitive Computing

AI has been a far-flung goal ever since the conception of computing, and every day we are getting closer and closer to the goal with new cognitive computing models.


Coming from the amalgamation of cognitive science and based on the premise of stimulating the human though process, the concept, as well as applications of cognitive computing, are bound to have far-reaching impacts on our privates lives as well as industries such as healthcare, insurance, and more.


The advantages of such cognitive technology are well and truly step beyond the conventional AI systems. Cognitive computing processes uses a blend of artificial intelligence, neural networks, machine learning, NLP, sentiment analysis, and contextual awareness to solve our day-to-day problems. According to IBM, cognitive computing is an advanced system that learns at scale, reason with purpose and interacts with humans in a natural form.


Artificial intelligence vs cognitive computing


As AI uses a basic use case to implement the best algorithm to solve a problem, cognitive computing on the other hand, goes a step beyond and tries to mimic human intelligence and wisdom by analyzing a series of factors. When we compare AI with cognitive computing, the latter is an entirely different concept.


Let us see some more features of cognitive computing here:


Cognitive computing learns & imitates the human thought process


Unlike AI systems that just takes care of a given problem, the cognitive processes and systems learns by studying patterns and suggests human intake along with relevant actions based on the understanding. In the case of artificial intelligence, the system takes full control of a process and takes steps to complete a task or avoid a scenario with the help of pre-defined algorithm.


Cognitive computing doesn’t throw humans out of the picture


The main aim of such modern computing is to help humans in their decision-making processes. This endows humans with a superior grade precision in analysis while ensuring everything is in their control. Let us understand through this example, an AI-backed system would make all the decisions in a health care facility without consulting a human doctor, but on the other hand, cognitive computing would supplement the human diagnosis with its own set of data and analysis in order to improve the quality of decision and adds a human touch to critical processes.


Cognitive computing will always offer you accurate data. As these modern systems can learn and adapt from the human behavior, it is very helpful for modern businesses. With such processes, customer interaction is improved and there is a way to retain the customers for a long time.


Given today’s market scenario, cognitive computing is doing wonders for businesses and enterprises.


Michel Smith is the author of this article. For further detail about Cognitive Computing please visit the website.

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