Some people say that cognitive computing represents the third era of computing: we went from computers that could tabulate sums (the 1900s) to programmable systems (1950s), and now to cognitive systems. We have reached a stage in technology where it is possible to develop systems which mimic the human brain. This is cognitive computing. Cognitive computing being newer in the context is often confused with Artificial Intelligence and many of the beginners consider it same as Artificial Intelligence. The article will draw out the differences in Cognitive computing and Artificial Intelligence and will make you understand the fact that the two differ in some respects.
Cognitive Computing is the technology of the next generation. IBM defines the result of cognitive computing as "systems that learn at scale, reason with purpose and interact with humans naturally." Deloitte refers to cognitive computing as "more encompassing than the traditional, narrow view of artificial intelligence".
It is amazing to develop system and machines that not only solve complex problems like humans but behave like humans. We get the feel of a human-like behavior when encountering systems using Cognitive computing. These systems and machines use computer vision, Natural Language Processing, Machine learning, deep learning, and reasoning to show human-like behavior. As per the reports, investments in cognitive computing are going to increase in the future.
The ability of computers to solve complex problems like humans and show intelligent behavior is Artificial Intelligence. Artificial Intelligence has made machine Intelligent which were once considered as only robots. Fields like deep learning, machine learning, and natural language processing are the subfields of Artificial Intelligence.
We have come across chatbots and AI driven Robots using AI and Machine learning and solving most of the queries requiring human intelligence but with Cognitive computing, one more thing gets added into it- Instead of just relying on some inputs and gain learning from it to solve complex tasks, cognitive computing systems act and think like humans. Systems have a thought process like humans where they can solve problems like humans, interact like humans and do not have to be fed with every information to generate the desired output. A cognitive computing system is just like a human- thinking, behaving, talking and showing problem-solving skills but having the face of a machine.
The best example of Cognitive computing that you can take is IBM Watson. IBM Watson is a computer system which uses deep learning algorithms and neural networks and is capable to answer questions posed in Natural Language. It also won the prize worth $1 million at a quiz show Jeopardy. With machines like this, we are moving the technology to the next level.