Cognitive computing in action: What is this field all about?

Cognitive computing in action: What is this field all about?

Cognition is the process by which we retrieve, store, develop and process information in an algorithmic manner. All the processes that are related to the human brain can be understood by the process of cognition. Cognition involves natural language processing capabilities and we harness the power of cognition to develop intelligent machines. In one word, cognitive computing plays a pivotal role in machine learning as well as deep learning technologies.

This means that our progress in the domain of cognitive computing is directly related to our progress in the fields of artificial intelligence and machine learning. Although we have made substantial progress in prioritising ai ml courses, we have still not achieved enough proficiency in these domains to give rise to advanced and independent systems.

Needless to mention, the progress that we achieve in the fields of artificial intelligence and machine learning will not only contribute to advancements in cognitive computing but in other domains like decision sciences and human computer interaction as well.

Let us now examine the various aspects of cognitive computing in detail.

The power of cognitive computing 

Various facets of cognitive computing extend to statistical models and systems that are driven by machine learning. Machine learning depends on processing of data and deriving insights from it. With the help of various algorithms, machine learning is able to work out the most complex problems with a lot of ease. Machine learning also makes use of deep learning techniques and the architecture behind it is composed of artificial neural networks. The technology that works behind deep learning architecture is cognitive computing. With the help of cognitive computing, we are able to visualise and process different types of objects, text and other subjects. Natural language processing also helps in comprehending human language. Converting it into machine input also depends upon cognitive computing. At an advanced level, cognitive computing also helps in human computer interaction.

Cognitive computing in action 

Cognitive computing is a game changer in the age of the fourth industrial revolution. Cognitive capabilities include comprehension and understanding of language, text, objects, and even voice so that bi-directional flow of information is maintained between man and the machine.

The most important limitation that humans faced while interacting with advanced machines was that of emotive understanding. Cognitive computing is now paving the way for development of machines with both emotional and ethical capabilities. Let us take the example of chatbots. In the age of artificial intelligence, we are on the track of development of chatbots that can make sense of linguistic, social, economic as well as emotional vocabulary of humans. Machine learning and deep learning capabilities are central to the development of these chatbots. The cognitive capabilities are taken care of by natural language processing.

All those types of machines that are equipped with processing and computational power can be deployed in fields like healthcare, education, law, e-commerce, retail as well as logistics. They can help in tracking of patient records, analysis of medical reports, improving diagnostic tools as well as aid in better decision making power.

Constituents of cognitive computing 

There are four main components of cognitive computing. The first component is called the sensing component. This component makes sense of various types of inputs that are provided to machines. The sensing capabilities of cognitive machines enable them to communicate with other devices. The second component is called the learning component. The learning component makes use of historical data sets to draw inferences and insights from previous experience. The third component is called the inference or thinking component. The thinking component mimics the capabilities of the human brain and the technology associated with it is deep learning and artificial neural networks. The thinking component is able to generate evidence-based hypotheses by making use of advanced algorithms. The fourth component is called the interactive component. The interactive component enables a system to transform the machine-oriented language into natural language that can be understood by humans. This helps in flawless human-computer interaction and effective dialogue delivery.

Applying cognitive computing

Cognitive computing finds applications in the domain of retail industry, logistics, banking, finance, manufacturing, marketing, cyber security, and the like. Let us understand how cognitive computing is effective in business intelligence. Expansion of any business involves a sound knowledge of market dynamics and other financial assets. With the help of cognitive computing, we can make sense of market fluctuations with the help of previous data sets. Cognitive computing can also give us a bird’ eye view of the strategies of successful businesses. We can utilize cognitive computing to predict future market trends and invest accordingly. In this way,  cognitive computing helps in predictive analytics as well as business expansion.

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