Skip to main content

Market Analysis: Cognitive Computing, recent industry developments



In the ever dynamical world of data technology, business organizations are left with a massive amount of data with them. This data includes very crucial info for business use, however business organizations are solely ready to utilize 200th of whole data accessible with them with the use of traditional data analytics technology. To method and interpret the reaming 80th of the data that's within the form of videos, images, and human voice (also referred to as dark data), there's a requirement of cognitive computing systems.

Cognitive computing systems are a typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have the capability to collect, process, and interpret the dark data available with business organizations. Cognitive computing systems process and interpret the data in a probabilistic manner, unlike conventional big data analytic tools. However, to cope with the continuously evolving technology and data safeguarding are two biggest challenges cognitive computing market is facing.

Segmentation on the basis of technology:
  • Natural Language Processing (NLP): It is used to process the human language in such a manner that a computer system can understand and interpret it. NLP automates the translation process between the computer and human.
  • Machine Learning: It is a subset of computer science that encompasses the study of pattern recognition and computational learning theory of artificial intelligence. It enables the computer program to learn from past data and can teach them to do modification when exposed to new data.
  • Automated Reasoning: It is the sub-discipline of computer science and mathematical logic, which is used to understand the different aspects of reasoning. It assists in producing computer programs that facilitate computers to reason perfectly or near perfectly.

Comments

  1. Thank you so much for this nice information. Hope so many people will get aware of this and useful as well. And please keep update like this.

    Text Analytics Software

    Text Analytics with R

    ReplyDelete
  2. Actually I read it yesterday but I had some thoughts about it and today I wanted to read it again because it is very well written.thanks a lot
    Ai & Artificial Intelligence Course in Chennai
    PHP Training in Chennai
    Ethical Hacking Course in Chennai Blue Prism Training in Chennai
    UiPath Training in Chennai

    ReplyDelete

Post a Comment

Popular posts from this blog

Does Machines Perceive Human Emotions?

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these dev...

Artificial Neural Networks can Detect Human Ambiguity

Artificial Neural Networks (ANNs) computational model based on the structure and functions of biological neural networks, it became a strong tool for researching artificial intelligence and information analysis and are utilised in robotics, social sciences and neuroscience for classification, prediction and pattern recognition. A global scientific team which incorporates scientists from Russia has created an artificial neural network that detects human ambiguity. They assist to classify neural signals, observe pathological activity of the brain (for example, with epilepsy), and neurodegenerative diseases. ANNs have three layers that are interconnected. The primary layer consists of input neurons. Those neurons send information on to the second layer that successively sends the output neurons to the third layer. Training an artificial neural network involves selecting from allowed models for which there are several associated algorithms. In this analysis, the scientist...