BIG DATA ANALYTICS: USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES TRANSFORMING ORGANIZATIONS

Rinku Sharma Dixit & Shailee Lohmor Choudhary

ISBN 10: 9390620511 / ISBN 13: 9789390620517

Published by I. K. INTERNATIONAL, 2022

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABNR-277793

Bibliographic Details

Title: BIG DATA ANALYTICS: USING ARTIFICIAL ...

Publisher: I. K. INTERNATIONAL

Publication Date: 2022

Binding: Soft cover

Condition: New

Edition: International Edition

About this title

Synopsis:

It was way back in 1990s that the term Big Data was first used. It is used to refer to data that is "huge, overwhelming, and in uncontrollable amounts". Such humongous data can be used for decision making using techniques of data analysis. However, in the last two decades, the volume and speed with which data is generated has changed beyond measures of human comprehension. IDC (International Data Corporation) estimated the newly created data will reach close to 35 zettabytes (35 trillion gigabytes) by 2020. But by 2018 it was already at 33 zettabytes, leading IDC to predict that in 2025, 175 zettabytes (175 trillion gigabytes) of new data will be created around the world.The need to process and analyse these increasingly larger (and unstructured) data sets led to the transformation of traditional data analysis into 'Big Data Analytics' in the last decade. This transformation led to complete transformation of the organizational processes and the strategic decision making and also to the evolution of newer technologies and tools for handling and servicing the Big Data Architecture and Big Data Analytics. This book has been designed for students (both graduates and postgraduates) and practitioners who want to understand all the concepts related to Artificial Intelligence, Big Data and Big Data Analytics, the related terminologies, technologies, and use cases in various domains. The examples and use cases provided in the book do not require a technical or conceptual skill set but an interest in the concerned domain to appreciate the problems and the results and advantages achieved through application of Intelligent Techniques. The book covers the concepts from the standpoint of a novice, so the readers need no prior knowledge of any tool or technology before reading this book. But the readers should have an inclination towards Statistics and Analysis to appreciate and understand the concepts.

About the Author:

Dr. Rinku Sharma Dixit is an alumnus of Delhi University who completed her PhD in Pattern Recognition using ANNs from Dr. Bhim Rao Ambedkar University, Agra. She is currently Professor in the Department of Artificial Intelligence and Machine Learning at New Delhi Institute of Management (NDIM).

Dr. Shailee Lohmor Choudhary is an alumnus of Delhi University who completed her PhD in Evolutionary Algorithms from Bharathiar University, Coimbatore. She is currently Professor and Head of the Department of Artificial Intelligence and Machine Learning at New Delhi Institute of Management(NDIM), Both the authors are proficient trainers for AI, ML and RPA platforms using both coding (R, Python, SAS) and no-coding platforms (RapidMiner, KNIME, UiPath).