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The process of Cognitive Computing combines artificial intelligence (AI), natural language processing, neural networks, machine learning, sentiment analysis, and contextual awareness to address everyday problems in the same way humans would.
Cognitive computing involves advanced systems that are able to gain knowledge at scale, interact with humans, and even use reason. However, cognitive computing differs greatly from AI, as AI employs algorithms to resolve problems and cognitive computing goes further, attempting to imitate human intelligence. Unlike AI systems that address individual problems, cognitive computing studies patterns, can learn over time, and can use knowledge and reason to suggest appropriate actions.
Some would note that cognitive computing acts as an overall personalized assistant for human decision-making, and not simply by completing single tasks. Cognitive computing gives humans access to faster and more accurate data analysis and removes the possibility of incorrect decisions being automatically made by a machine learning system. Over time, more and more data can be collected and analyzed to create new insights and improve processes. Cognitive technology provides said analysis, but can also be used to anticipate future behavior and events with predictive analysis.
Some benefits of cognitive computing include more accurate data analysis, increasingly decisive business processes, and better customer engagement. Cognitive computing systems are designed to collect, analyze, and cross-reference all the situational information. Cognitive computing analyzes new and emerging patterns, finds business growth opportunities, and addresses critical process issues in real-time.