Cognitive computing refers to systems that simulate human thought processes in a computerized model, aiming to enhance human decision-making. By leveraging artificial intelligence, machine learning, and natural language processing, these systems can handle complex data sets to provide insights and suggestions in a human-like manner.

Cognitive Computing

Cognitive computing

human thought processes

computerized model

When people make choices, they think about what they want and what might happen next. Sometimes they make choices quickly, and other times they think really hard about it.

human decision-making

Artificial intelligence refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. It encompasses a range of technologies and methodologies, including machine learning, neural networks, and natural language processing, to create systems that can learn, adapt, and improve over time.

artificial intelligence

Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. It leverages data to train models that can make predictions or decisions without being explicitly programmed for specific tasks.

machine learning

Natural language processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics, focused on enabling computers to understand, interpret, and generate human language. It encompasses a wide range of applications, from speech recognition and sentiment analysis to machine translation and conversational agents, leveraging techniques like machine learning and deep learning to improve accuracy and efficiency.

natural language processing

complex data sets

insights and suggestions

human-like manner

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