Cognitive Computing

Overview

A class of AI systems designed to emulate human cognitive functions, such as learning, reasoning, and problem-solving. These systems are typically employed in complex decision-making scenarios, such as medical diagnosis, financial analysis, and risk management, where they can process and analyze large volumes of data to assist human experts. Cognitive computing draws on techniques from machine learning, natural language processing, computer vision, and knowledge representation.

What is Cognitive Computing?

Cognitive computing represents a new generation of AI systems that aim to simulate human thought processes. These systems combine various AI technologies including machine learning, natural language processing, computer vision, and knowledge representation to create solutions that can understand, learn, reason, and interact more naturally with humans.

Mimicking Human Thought

Cognitive computing strives to imitate human thought processes including learning, reasoning and problem-solving.

Applications and Use Cases

These systems are used in complex decision-making in multiple industries such as medical diagnoses, financial analysis, and risk management.

• Healthcare These technologies help clinicians analyze large volumes of medical information to improve and personalize patient care, while also supporting clinical decision-making.

  • Medical diagnosis and treatment planning
  • Clinical care support and personalization
  • Analysis of large medical information datasets
  • Support for clinical decision-making

• Financial Services

  • Risk assessment and management
  • Market analysis and prediction
  • Fraud detection and prevention

Related Concepts

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Deep Learning (DL)