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Cognitive Computing

Cognitive computing represents self-learning systems that utilize Machine Learning models to mimic the way brain works. Eventually, this technology will facilitate the creation of automated IT models which are capable of solving problems without human assistance. The result is cognitive computing — a combination of cognitive science and computer science. Cognitive computing models provide a realistic roadmap to achieve Artificial Intelligence.

Why IT operations needs cognitive capabilities :

We are in an era of digital transformation that calls for changes in tooling, culture and even operating models and organizational structure to realize its full potential. In the market, we see interesting disruptors shaking up cloud, mobile data and other innovative business models.

The systems of today have delivered tremendous business and societal benefits by automating tabulation and harnessing computational processing and programming to deliver enterprise and personal productivity. The machines of tomorrow – cognitive systems -- will forever change the way people interact with computing systems to help people extend their expertise across any domain of knowledge and make complex decisions involving extraordinary volumes of fast moving Big Data.

Features of Cognitive Computing

Adaptive

The solutions given by the system mimics the ability of human brain to learn and adapts from the surroundings.

Interactive

Cognitive systems interact bi-directionally. It understands human input and provides relevant results using natural language processing and deep learning.

Iterative and stateful

The system “remembers” previous interactions in a process and return information that is suitable for the specific application at that point in time. It is able to define the problem by asking questions or finding an additional source.

Contextual

It understands, identifies and extracts contextual elements such as meanings, syntaxs, time, locations, appropriate domain, regulations, user’s profile, processes, tasks, and goals.

Cognitive Computing make a difference

Cognitive systems can be taught new skills and, just like a person, it can improve over time as it learns from its mistakes. This capability for self-improvement is part of what makes cognitive computing such a powerful tool.

IBM's Watson helps doctors determine the best treatments for cancer patients.