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Don’t Sleep on Congnitive Computing | How Smart is Watson?

Cognitive computing enables people to generate value through computing in a new way. Bernard Marr writes "The goal of cognitive computing is to simulate human thought processes in a computerized model." An alternative to a structured approach to computing - cognitive computing approaches problem solving by mimicking the human approach. IBM has created a computing system called Watson that reasons about problems just like humans by: Observing visible phenomena and bodies of evidences, Drawing on knowledge to develop hypotheses, Evaluating which hypotheses are correct, and Choosing the best option. Highlights of Watson's capabilities include: interpreting unstructured data, interpreting natural language, understanding context,…

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Watson's avatar, inspired by the IBM "sma...
Watson’s avatar, inspired by the IBM “smarter planet” logo IBM Watson: The Face of Watson on YouTube (Photo credit: Wikipedia)

Cognitive computing enables people to generate value through computing in a new way. Bernard Marr writes “The goal of cognitive computing is to simulate human thought processes in a computerized model.” An alternative to a structured approach to computing – cognitive computing approaches problem solving by mimicking the human approach.

IBM has created a computing system called Watson that reasons about problems just like humans by:

  1. Observing visible phenomena and bodies of evidences,
  2. Drawing on knowledge to develop hypotheses,
  3. Evaluating which hypotheses are correct, and
  4. Choosing the best option.

Highlights of Watson’s capabilities include:

To prepare Watson for solving a problem:

  1. a corpus of relevant information is loaded into Watson – called a Curation of Content,
  2. data is pre-processed or Ingested,
  3. Watson is trained by experts through question-answer pairs, and
  4. Watson learns through interaction.

Watson relies on deep learning algorithms.  The algorithms interpret a training set of examples to learn how something works.  Each is example is an input-output pair.  A pair might be a picture of a basketball and a picture of a hoop.  We show the computer which object is a basketball.  Then show it subsequent pictures and ask it to decide if the pictures are of basketballs.  The system compares each image with that of a basketball and make an answer.

About Kirk Tramble

Professional Services ● Technology Leader ● Consultant Software and Energy Industries

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