Book Image

Artificial Intelligence for Big Data

By : Anand Deshpande, Manish Kumar
Book Image

Artificial Intelligence for Big Data

By: Anand Deshpande, Manish Kumar

Overview of this book

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Chapter 11. Cyber Security

During the course of this book, we have established one thing. In order to realize AI, we need access to large volumes of data. Data plays a central role in building capabilities for intelligent machines which complement and augment human capabilities. The applications we develop based on machine learning architectures and algorithms are only as good as the underlying data. As our dependence on data increases and we start seeing data as an asset for mission-critical systems such as medical equipment, aviation, banking systems, and so on, maintaining the integrity of the data assets is one of the most important priorities and key ingredients for successful widespread adoption of AI-based systems. Protection of critical infrastructure from data breaches is generally known as cyber security.

In this chapter, we are going to see how we can leverage various data governance frameworks to protect the critical data assets and utilize our understanding of Big Data management...