Cognitive Computing

What is cognitive computing?

Cognitive computing deals with scientific technologies that solve complex problems that may have dynamically shifting situations and conflicting data that may often need human intelligence but might solve these problems without human interference. Cognitive computing often uses technologies like artificial intelligence, self-learning and natural language processing.

In simple terms, a technology that mimics how a human brain functions and solves a problem using scientific technologies is called cognitive computing.

Some Features that a cognitive computing system might have:

  • Adaptive : Able to feed on dynamic data in real-time and learn the necessary changes and requirements to resolve any ambiguity.
  • Contextual : Understand and interpret contextual elements such as meaning, time, location, syntax, domain, process, task and the goal from multiple sources.
  • Interactive : Interact with ease regardless of any device, medium and services.
  • Iterative: Remembers and recognizes previously held conversations in order to successfully complete a conversation or a transaction suitable for the specific application at that point in time.

Where can we possibly use cognitive computing technology?

In the education stream, cognitive intelligence can replace human tutors and can enhance the learning experience of the students.

Cognitive computing is also widely used in speech recognition, face detection, sentiment analysis and fraud detection.