Some describe cognitive computing as “computers that think”. But this implies self-awareness and ability to act on their own will, which computers don’t have.
Others describe it as “computers that mimic the human brain”. That’s an overstatement today. That said, cognitive computing does mimic one powerful process of the human brain: decision-making.
And then there are the cynics who describe cognitive computing as the end of life as we know it. They’ve watched too many Hollywood movies if you ask us.
For us, at Enterra Solutions, cognitive computing refers to software that combines humanlike reasoning with cutting-edge mathematics, wrapped in natural language, to solve complex problems.
To cope, data experts “dumb down” the problem by reducing the number of variables, and in doing so, they lower the value of the solution.
A cognitive computing system, on the other hand, chains rules on the fly, this lets it consider all important factors we humans weigh while problem-solving, which traditional expert systems cannot do – like, analyze context, or handle concepts like “probably” or “sometimes”.
This enables a cognitive computing system to figure out where the insight is “probably” located, and then focus its attention on a specific part of the haystack to pinpoint the “needle”.
Of course, Big Data isn’t just a haystack. It’s haystacks within haystacks on top of haystacks. Cognitive computing’s unique problem-solving approach thrives on this kind of complexity.
Meet AilaTM, the first true Enterprise Cognitive SystemTM from Enterra Solutions.
Aila combines the efficiency and accuracy of computational computing with the analytic and predictive abilities of human reasoning.
Aila can receive extraordinary volumes of data from any source, however unstructured, understand the nature of that data, learn from the relationships and connections it discovers, make decisions, and take actions to achieve defined outcomes.