Difference between Artificial Intelligence (AI) and Cognitive computing is quite an important question in the minds of people who are working in the business sector? In our daily lives, both of them have a great place but we aren’t aware that in actual terms what they want to explain. This question actually clears our response towards the upcoming and existing products that claim to do one or the other. If you are not aware of the difference between a platform powered by AI and the one which is associated with cognitive computing, and what are the implications of those differences, It will be very difficult for you to decide that what is best for your business or your application? First, lets read about the basic concepts related to them.
Artificial intelligence: Letting computers do intelligent things.
The actions which are the most appropriate to take, and when they should be taken is decided by Artificial Intelligence agents. These form taken by these agents is mostly of a machine learning algorithms, neural networks, statistical analysis and more. A number of times AI information is fed actually over a long period of time so that it can “learn” the variables it should actually pay attention to and the desired outcomes could be there that is it provides a perfect solution.
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The possible applications for AI are quite extensive and already are fully included into our daily routines, from the Siri/Alexa/Google voice assistant, to Netflix making recommendations based on the pattern of your viewing. AI and fully autonomous vehicles are inseparable if we talk about this in terms of the future, The AI watches countless hours of driving footage in training and is given some variables to look out for lanes, other cars, pedestrians and then provide a result based on its decision-making process.
Cognitive computing helps to solve problems with a human-like approach.
A number of same fundamentals as of AI are included in this process. They are machine learning, neural networks, natural language processing (NLP), contextual awareness and sentiment analysis, to pursue the processes of problem-solving that humans practice day in and day out. The result of cognitive computing defined by IBM is a “systems that learn at scale, reason with purpose and interact with humans naturally.”
One emerging cognitive computing task is Sentiment Analysis which is done in order to fully know the context and nuances of human language as it must practice words on their deepest linguistic meanings. But, if we consider IBM and Watson, it actually makes clear to talk about medicine, a doctor who inputs data about their patients, and cognitive computing algorithms analyze it by making use of mimicked human problem-solving. Some suggestions are then given by the application and even information is provided to assist the doctor to decide what to do next.
Both the terms are quite close but there are some fundamental differences in it.
Think of a period when AI and cognitive computing are working in a proper sync with one another within a single system, operating from the same sets of data and the same real-time variables from the world around it. That is actually a self-ruling car that not only takes you to the ideal destination but also clear the prospect of why it is required to go there. Or, that is an emergency room that can right away triage you on the basis of your physical condition and your mental state of mind, and then giving out recommendations to the professionals, giving nurses and doctors a lot of time to get to work making you a better one.
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