Cognitive computing: Moving From Hype to Deployment

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Although cognitive computing, which is often referred to as AI or Artificial Intelligence, is not a new concept, the hype surrounding it and the level of interest about it is definitely new. The combination of hype surrounding robot overlords, vendor marketing and concerns regarding job losses has fueled the hype into where we stand now.

But, behind the cloud of hype that is surrounding the technology currently, there lies a potential for increased productivity, the ability to solve problems deemed too complex for the average human brains and better knowledge-based transactions and interactions with consumers. I recently got a chance to catch up with Dmitri Tcherevik, who is the CTO of Progress, about this disruption and we had a healthy discussion which led to the following insights.

Cognitive computing is considered a marketing jargon by many, but in layman terms, it is used to define the ability of computers to replicate or simulate human thought processes. The processes behind cognitive computing may make use of the same principles as AI, including neural networks, machine learning, contextual awareness, sentimental analysis, and natural language processing. However, there is a minute difference between both of them.

Difference between Cognitive Computing and AI

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