What is Cognitive Computing?

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About Cognitive Computing

Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers might be ambiguous and uncertain.
It is an attempt to have computers mimic the way the human brain works.
The goal is to create intelligent systems that can adapt and make decisions similar to the way humans would.
To accomplish this, cognitive computing uses artificial intelligence (AI) and other underlying technologies, including the following:
- Expert systems.
- Neural networks.
- Machine learning.
- Deep learning.
- Natural language processing (NLP).
- Speech recognition.
- Object recognition.
- Robotics.
It uses these processes in conjunction with self-learning algorithms, data analysis, and pattern recognition to teach computing systems.
Cognitive computing applications analyze patterns and apply machine learning to replicate human capabilities such as deduction, learning, perception, and reasoning.
Unlike traditional programmed systems, cognitive computing solutions can analyze large amounts of unstructured data from various sources and identify patterns and insights.
They can interpret text, images, speech and make connections across data. Over time, these systems continue to learn from their interactions and experiences.
The learning technology can be used for sentiment analysis, risk assessments, and face detection.
In addition, cognitive computing is particularly useful in fields such as healthcare, banking, finance, and retail.

Q1) What is Machine Learning?

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Source: Cognitive Computing Market Share, Size, Trends Analysis, Report 2023-2028