Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers may be ambiguous and uncertain. The phrase is closely associated with IBM's cognitive computer system, Watson. Cognitive computing overlaps with AI and involves many of the same underlying technologies to power cognitive applications, including expert systems, neural networks, robotics and virtual reality (VR).
Cognitive computing is often used interchangeably with AI -- the umbrella term for technologies that rely on data to make decisions. But there are nuances between the two terms, which can be found within their purposes and applications.
AI technologies include -- but aren't limited to -- machine learning, neural networks, NLP and deep learning. With AI systems, data is fed into the algorithm over a long period of time so that the systems learn variables and can predict outcomes. Applications based on AI include intelligent assistants, such as Amazon's Alexa or Apple's Siri, and driverless cars are based on AI.
Application
Retail Industry
Logistics
Banking and Finance
Power and Energy
Cyber Security
Health care
Education
With advancements in technology, machines and humans have learned infinite ways to collaborate. It is expected that more capabilities based on cognitive Computing will evolve over time. The main aim of cognitive Computing is to harness data and insights to deliver a better experience, values, and individual engagement.
