Cognitive Computing, Big Data, and Watson (in under a minute)

WHAT IS COGNITIVE COMPUTING?

Cognitive computing is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition, and natural language processing to mimic the way the human brain works.

These systems learn and interact to provide expert assistance to scientists, engineers, lawyers, and other professionals in a fraction of the time it now takes.

MOTIVATION FOR THE 2016 COGNITIVE COMPUTING CHALLENGE

A key economic motivator for the development of cognitive applications and this year's challenge is the growth and availability of both structured and unstructured (text) digital information i.e., big data.

This year's challenge is also motivated by the advent of technology platforms that facilitate the development of cognitive applications. One such platform is the IBM Watson system from which we have drawn some real world examples.

BACKGROUND INFORMATION

Big Data

Big Data growth is accelerating as more of the world's activity is expressed digitally. Not only is it increasing in volume, but also in speed, variety and uncertainty. Most data now comes in unstructured forms such as video, images, symbols and natural language - a new computing model is needed in order for businesses to process and make sense of it, and enhance and extend the expertise of humans. Rather than being programmed to anticipate every possible answer or action needed to perform a function or set of tasks, cognitive computing systems are trained using artificial intelligence (AI) and machine learning algorithms to sense, predict, infer and, in some ways, think.*

IBM's Watson

from http://www.research.ibm.com/cognitive-computing/index.shtml#fbid=yWFPhYi...