What Is Cognitive Computing?

Written by Indicative Team


Cognitive Computing Defined

Cognitive computing is the simulation of human thought processes in a computerized model. Cognitive computing systems can synthesize data from various information sources, while weighing context and conflicting evidence to suggest the best possible answers.This is achieved by using self-learning algorithms that use data mining, pattern recognition and natural language processing to mimic the way a human brain functions.

To achieve those capabilities, these type of computing systems must have five key attributes:

  • Adaptive: Cognitive systems must be able to digest dynamic data in real time and make adjustments when necessary.
  • Interactive: Human-computer interaction (HCI) is a critical component in cognitive systems. Users must be able to interact with cognitive machines and define their needs as those needs change.
  • Iterative and stateful: Cognitive computing technologies must also identify problems by asking questions or pulling in additional data if a stated problem is vague or incomplete.
  • Contextual: Cognitive systems must also understand, identify and mine contextual data, such as syntax, time, location, domain, requirements, a specific user’s profile, tasks or goals.

In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.

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