A recent report on “Cognitive Computing” had stated that the global cognitive computing market size had reached US$ 32.8 Billion in 2022.
About the Cognitive Computing:
- The Cognitive computing is a system that simulates human thought processes through advanced technologies like artificial intelligence, machine learning, and natural language processing.
- Unlike traditional computing, it can comprehend, reason, and learn.
- It can process vast amounts of unstructured data.
- It can mimic human cognitive functions, by adapting and improving over time.
- It can be used in various fields such as healthcare, finance, and customer service.
How cognitive computing works?
- Systems used in the cognitive computing combine data from various sources while evaluating context and conflicting evidence to suggest the best possible answers.
- In order to mimic human intelligence, it uses self-learning technologies that use data mining, pattern recognition and NLP (Natural Language Processing).
- NLP is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language.
- It uses computer systems to solve the various types of problems by analysing vast amounts of structured and unstructured data fed to machine learning algorithms.
- Over time, cognitive systems can refine the way they identify patterns and process data.
- It can anticipate new problems and model possible solutions.
Advantages of Cognitive computing:
- It can solve complex problems, aid in decision-making, and data analysis.
- It can use data from a variety of sources, such as images, videos and texts.
- It can help understand context, recognize patterns, and provide insights.
- It is highly effective at detecting errors in software code and encryption algorithms for security systems.
Disadvantages of Cognitive computing:
- As it need large amounts of data to learn from, it can make them more vulnerable to cybersecurity breaches.
- It requires skilled developers and huge time to develop software that makes them useful.
- Its training consumes a lot of power, resulting in a huge release of carbon footprint.
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