Cognitive disruption: Where man and machine become one!

In 2017, digital disruption is history. If you are not thinking about cognitive disruption, your business is way behind in the technology curve.

In the recent IBM annual survey of global CEOs, about 73 percent say cognitive computing will play an important role in the near future of their organizations, with the same sentiment echoed by other c-suite executives as well. While almost three-fourths of CEOs agree that their businesses, and their industries, will be disrupted by cognitive computing in the near future, surprisingly only about half of these CEOs are planning to adopt cognitive computing by 2020.

While that may seem stunning, the primary reason is pretty clear: infusing cognition into an existing infrastructure is extremely difficult, very time-consuming and will be very expensive.

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Which kind of Cyborg are you?

By Andy Thurai (@AndyThurai)

[This article is a result of my conversations with Chris Dancy (www.Chrisdancy.com) on this topic. The original version of this was published on Wired magazine @ http://www.wired.com/insights/2014/01/kind-cyborg/].

Machines are replacing humans in the thinking process. The field of Cognitive Thinking is a mixture of combining rich data collection (with wide array of sensors), machine learning, predictive analysis, and cognitive anticipation in a right mix. Machines can do “just-in-time-machine-learning” rather than using predictive models and are virtually model free.

The Cognitive Computing concept revolves around few combined concepts:

  1. Machines learn and interact naturally with people to extend what either humans or machines could do on their own.
  2. They help human experts make better decisions.
  3. These machines collect richer data sets and use them in their decision making process, which creates the need for intelligent interconnected devices. This creates a network of intelligent sensors feeding the super brain.
  4. Machine learning algorithms sense, predict, infer, think, analyze, and reason before they make decisions.

Which kind of cyborg are you?

The field of cybernetics has been around for a long time. Essentially, it is the science (or art) of the evolution of cyborgs.  The cyborgs have evolved from assistive cyborgs to creative cyborgs. Not only can they adapt to human situations, but they are also able to learn from human experiences (machine learning), think (cognitive thinking), and figure out (situation analysis) how to help us rather than being told.

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