What is Cognitive Computing and it’s Application Areas


Cognitive computing uses computerized model to simulate in line with the thought process of human being during complex situation. Application of cognitive computing are finding out an object in the image and understanding our natural language. Market database suggests that cognitive computing is a step to make the computer work how the human brain works. Cognitive computing comprises of following technologies Market research tools state that artificial intelligence, neutral networks, Deep learning, speech recognition, robotics, object recognition, Natural language processing, machine learning, and expert systems. It is possible by a machine to do high level functionalities of the brain.

Features of Cognitive Computing

As per market research tools, it is noted that cognitive computing technology makes use of pattern recognition and machine learning to make sense of information understandable, even the unstructured info like natural language. Market database states that this is possible due to the features which are mentioned below.

  • Adaptive Learning

Market analysis states that cognitive system needs to adapt to the rapidly changing information and the data which fulfil the goals. This platform processes the real time dynamic data.

  • Interactive

The essential part of cognitive system is that human computer interaction (HCI). Parameters are set for the interaction of user and cognitive system but even that parameter tend to change. The technology will also interact with other processors, cloud platform and devices.

  • Iterative and stateful

Market analysis states that cognitive computing system recognizes the problem by asking questions or dragging out supplementary data if a fixed question is vague or incomplete.  This is made possible by the technology by accessing the stored information about related situations and scenarios.

  • Contextual

Cognitive system must mine, identify and understand the contextual data such as specific user’s task, location, syntax, profile, requirements, domain, and time. Business intelligence tools state that they also get information from multiple sources structure or unstructured data, visual or sensor data, including auditory.

The working of cognitive System

Market analysis suggests that the system that is used in cognitive will combine data from various source and give the best possible outcome. In order to achieve this cognitive system must include self learning technologies which uses pattern recognition, NLP to mimic human intelligence and data mining. Over time cognitive system will refine the way the system identify the problem and the way the system find the solution by processing the data. They are made to become capable of identifying or anticipating new problems and modelling possible solutions for it. Let us consider an example thousands of dog pictures is stored in a database and cognitive system is taught to identify the picture of the dog. The more the data is exposed; it provides an opportunity to learn more and more accurate the result will be in over time.

Cognitive computing Applications

  • Retail Industry

Cognitive system helps the marketing team by collecting more data and then analyzation is done to make the retailers more adaptive and efficient. Business intelligence tools state that cognitive computing provides personalized suggestions to the customers and numerous advancement is come into the industry because of cognitive computing such as website design, price optimization and demand forecasting. Cognitive computing also provides tools to the retailers to build business more agile.

  • Logistics

Market analysis suggests that cognition made a new entry to the supply chain, transportation and logistics. Business intelligence tools suggest that it helps in the each stage of logistics such as designing, warehouse management, IOT, Decisions in warehouse, warehouse automation and networking. In the warehouse process, cognition computing helps in  the use of robots which will help in the increase of efficiency at the work.

  • Banking and Finance

The main advantage of having cognitive system in the banking industry is it will help customer engagement and experience. Cognitive computing  technology could help in reshaping the financial and banking institutions by giving new analytics and insights.

  • Power and Energy

The oil and gas industry faces huge cost pressure to produce, distribute and find crude oil and it’s by products, there is also a problem with the shortage of technical professionals and skilled engineers in this field, with the help of cognitive technologies, large amount of data is processed to make decisions and learn from those results.

  • Automotive sector

The cognitive computing system is trained so that it can quantify and estimate the risk of Making errors based on the drivers and self driving vehicle current state, Thus a traveller or                     automatic car can travel in a less risky environment. Another technology used with cognitive technology is that labelling of hand pictures to reduce and increase the volume in the car.

  • Healthcare and wellness

From the wearable devices, for example FitBit or Apple watch, the applications from it can help individuals and personal trainers to get recommendations and suggestions for changing the diet or the exercise program and also how to reduce the stress.

Cognitive computing Vs Artificial Intelligence

The provided outcome is different from both, though there is so much similarity between the methods of two technologies. Cognitive system and artificial intelligence can learn and act based on the provided input, past experience as well as adapt to new data. Both of them can analyze large set of data. Artificial intelligence will provide a suggestion where as cognitive learning can assist in taking decision.