Cognitive Computing and Its Applications: Everything You Need to Know

Cognitive Computing

Machine learning, artificial intelligence, natural language processing, deep learning, robotics, and several other technologies have enabled businesses to leverage human intelligence and evaluate inputs for maximum accuracy and precision.

For example, you now have image recognition software that acts as a scanner and finds the best search options on Google after interpreting what the image is. So, the application is based on ML, natural language processing, and artificial intelligence. It imitates a human who uses the item or object through the eyes and interprets the results in mind.

Although all these disruptive technologies are individually the best in their field, combining them, it’s a challenge. This is where the concept of cognitive computing in business comes into play. As the name suggests, cognitive computing is a process where a particular system evaluates the given set of inputs based on human intelligence and offers more in-depth insights.

Hypothetically, if the software can study the inputs given by a game player about the opponent’s moves, it will evaluate and provide the best result for winning. This sets cognitive computing apart from artificial intelligence because the former is reliable and dependent on user inputs.

Working on a Cognitive Computing System

The first thing you need to focus on is the working of the cognitive computing system. With a deeper understanding, it will be easier for you to implement the process, especially if you are new to the working of other such relatable technologies, including AI, ML, NLP, and so on.

So, the working of any cognitive computing system can be explained in four steps or phases:

1.  Understanding

The first thing that the system does is understand the input, human actions, and several such relatable attributes. The system uses artificial intelligence and analysis to understand and develop cognitive intelligence.

2.  Reasoning

Once the system understands what needs to be done or the input is given, it uses logical reasoning. This is the evaluation phase, where the system evaluates the input based on everything it has learned and understood from the previous cycles.

3.  Learning

The cognitive system then learns human behavior, uses cognitive intelligence to evaluate a given input set, and so on. The system needs machine learning and natural language processing in this phase to gain more understanding and adapt accordingly.

4.  Interacting

The last phase of a cognitive computing system is interaction. Every system needs human interaction to understand how they behave, evaluate the situations, and learn behavior. Unlike AI, it does not use any algorithm for evaluating input sets.

Benefits of Implementing Cognitive Computing System

To explain the benefits of this new computational technique, we need to refer to some of the best cognitive computing examples. You will only gain clarity in understanding the uses of this new concept if you refer to the real-life implementation. So, let’s look at how businesses leverage cognitive computing for better performance, user experience, and accurate analytical results.

1.  Data Collection and Interpretation

One of the major applications of cognitive computing is data collection and interpretation. There is no doubt that data is the biggest asset for any business in this digital world. Therefore, companies can use a cognitive computing system instead of any other computational method to leverage data.

Since the system can implement machine learning and artificial intelligence, data processing and collection can be easily streamlined. Furthermore, the incorporation of cognitive computing will also help generate accurate and more precise computational results. Therefore, the chances of errors or misinterpretation of input data are quite low.

2.  Error Detection and Troubleshooting

Another area where cognitive computing companies have left a mark is error detection and troubleshooting. The cognitive computing model can efficiently run pattern analysis and tracking, whether detecting any error in the encryption security algorithm or software codes.

This will help it to find the loopholes and gaps, along with the root cause and impacts. Therefore, the cognitive computing system offers an in-depth and comprehensive insight into any business operation with errors and poor performance.

3.  Customer Retention

Customer retention is one of the biggest concerns of many businesses in this digital world. Customers often bounce back even before taking action on the website or application. This is simply because they need more than the experience from the concerned business.

Besides, businesses need help understanding the dynamics of human behavior and the target audience’s mindset to modify their services and products accordingly. Therefore, it becomes nearly impossible for any business to retain customers for a long time. It can be resolved using a cognitive computing model. The model will help you understand your customers’ wants and produce results accordingly.

4.  Informed Decision-making

Thanks to the correlation between cognitive computing and artificial intelligence, it is possible for businesses to learn more from the evaluated results and leverage the same for informed decision-making. When someone decides to change or adopt some new methods based on assumptions, the chances of failure immediately skyrocket.

That’s why businesses need a solid ground to make any decision that might affect the operations and processes for the coming years. Companies must adequately understand data evaluation results to do so without any hindrance. This is where cognitive computing comes into play, as it can yield correct data sets for better decision-making.


In this article, we have walked you through the concept of cognitive computing, the four phases of walking, and the benefits. Although the idea is still in its nascent stage, with proper understanding and technology use, it will become possible for businesses to implement cognitive computing protocols in their existing infrastructure and operations.

Several companies offer cognitive computing model development, customization, integration, and implementation. If you are looking for a comprehensive solution, Etelligens will help you with everything.

The experts here have gained experience leveraging disruptive technologies to improve business performance and productivity. So, they will help you use cognitive computing protocols and take your business operations up by several notches.