Cognitive computing is sub-group of an artificial intelligence which works as a human intelligence and automates the processes for various levels. It uses computer system or application to deal with the complex problems like vagueness or uncertainty and deals with analytical problems to provide end results. Cognitive computing comprises of self-learning systems that use data mining, structure identification, and processing of natural language to mimic the way the human brain works.

Basic Understanding of Cognitive Computing Applications
Use of cognitive computing is needed in a business to create a benchmark in the process of production and distribution. Storing and maintaining the consistency in huge quantity of data is a task of responsibility for every business. So cognitive computing application allows to store huge quantity of data in a systematic manner. It is capable of improving work efficiency and effectiveness in the performance of business processes. Maintaining the accuracy and providing unbiased outcome is the specialty of cognitive computing applications.

Cognitive computing helps the management of an organization in the planning process and making the effective strategies to receive the productive results. Dealing with the task like making the changes or altering the existing data and getting unbiased results have become easy by using cognitive computing. Cognitive computing application is a on demand service and can be used when it is needed. And it eliminates the cost of installing hardware and software. It is also used in forecasting the weather, dealing with the research process and improvising the leadership for providing the direction to the team members. It is used in artificial intelligence applications where virtual reality, robotics or neural networks are involved.

Benefits of Cognitive Computing
Cognitive computing allows different areas to store large amount of data which can be banking sector, financial services, insurance companies, etc. Companies can examine the stored data and recognize the different levels of risk, that may not be controlled due to the absence of advance platforms and analytical tools. It acts as a important factor for all financial institutions and organizations to make the important strategies to overcome from the risky situations. And also allows to analyze the situations to make the better decisions, that tends to run the services successfully.

Cognitive computing helps the manufacturing industries to produce an effective outcome in a production and create a consistent supply chain. It also helps business units to be competitive in the market, by understanding the demand to produce and deliver good quality of products and services.

Cognitive computing is an effective platform to create a treatment plan for a patient in a well structured manner. Digital transformation helps in managing and storing patient records to facilitate the treatment and arrange for medicines, equipment, etc. Using this process, the treatment procedure can be improvised in getting better results and fulfilling the expectations of patient.

There are many companies that are dealing with cognitive computing applications. Some of them are IBM Watson, Microsoft Cognitive Computers, HPE Haven OnDemand, Cisco Cognitive Threat Analytic, Google DeepMind, CognitiveScale, CustomerMatrix Cognitive Engine, SparkCognition.