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Artificial Intelligence for Big Data

You're reading from   Artificial Intelligence for Big Data Complete guide to automating Big Data solutions using Artificial Intelligence techniques

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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Anand Deshpande Anand Deshpande
Author Profile Icon Anand Deshpande
Anand Deshpande
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Toc

Table of Contents (14) Chapters Close

Preface 1. Big Data and Artificial Intelligence Systems FREE CHAPTER 2. Ontology for Big Data 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 13. Other Books You May Enjoy

Application in Big Data analytics


Frequently, the terms big data and Cognitive Intelligence are used together. Let us understand the relationship between these two concepts. During the course of this book, we have already seen primary aspects and details of big data, such as Volume, Velocity, and Variety. The data volumes are growing exponentially with more devices and systems producing data across business domains and platforms.

As a simple example, a person living in any urban area across the world, is producing at least a few megabytes of data every day with the use of smartphones, televisions, various electronic gadgets, and even cars. These personalized datasets along with industrial and enterprise data assets are adding to the volume of data everyday. This data is generated and stored at an ever increasing velocity into centralized servers on the premise or within the cloud. In order for the data assets to be of value, the analysis and actionable insights should be generated as close...

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