Cognitive Computing

What is cognitive computing?

As per wikipedia meaning: Cognitive computing (CC) describes technology platforms that, broadly speaking,
are based on the scientific disciplines of artificial intelligence and signal processing.

Sub components of Cognitive Computing systems

Natural Language Processing

 - understand meaning and context in a language, allowing deeper, more intuitive level of discovery and even interaction with information.

Machine Learning – Algorithms that help train the system to recognize images and understand speech

Algorithms that learn and adapt with Artificial Intelligence

Deep Learning – to recognize patterns

Image recognition – like humans but more faster

Reasoning and decision automation – based on limitless data

Emotional Intelligence

Real world examples and usecases of Cognitive Computing:

ANZ bank of Australia used Watson-based financial services apps to offer investment advice,
by reading through thousands of investments options and suggesting best-fit based on customer specific profiles, further taking into consideration their age,
life stage, financial position, and risk tolerance.

Geico is using Watson based cognitive computing to learn the underwriting guidelines, read the risk submissions, and effectively help underwrite

Brazilian bank Banco Bradesco is using Cognitive assistants at work helping build more intimate, personalized relationships

Out of the personal digital assistants we have Siri, Google Now & Cortana – I feel Google now is much easy and quickly adapt to your spoken language.

There is a voice command for just about everything you need to do — texting, emailing, searching for directions, weather, and news. Speak it; don’t text it!

Refrences:

Wikipedia.

http://bigdata-madesimple.com/

 

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