At a Glance
Title: Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Target Audience: Business professionals, data scientists, decision-makers, and anyone seeking a quick insight into Big Data, AI, and data science.
Topic: The book offers a practical guide for utilizing Big Data, AI, and data science to succeed in the business environment.
Author: David Stephenson
Language: English
Pages: 240
Price: approx. 16 Euro (Kindle Edition) | approx. 6 – 16 Euro (Paperback)
Positive: The book offers a practice-oriented guide that bridges the gap between data scientists and decision-makers. It includes relevant and insightful case studies.
Negative: The book could be viewed as an introductory overview, lacking depth.
Buy: Amazon
In Detail
“Big Data” has been one of the most important business buzzwords of the last decade. Many companies have recognized the trend and invested in powerful software and data science expertise. “Big Data Demystified” is a practical guide for anyone who wants to succeed in the business world with Big Data, AI, and data science. It bridges the gap between data scientists and decision-makers and demystifies the technical jargon, enabling even technophobic executives to make better decisions and gain a competitive advantage from data.
The book is particularly valuable for those seeking a quick insight into Big Data, AI, and data science topics. It provides relevant and insightful case studies and is a good starting point for anyone looking for an overview of the trends to watch and applications relevant to their own business and their business decisions.
The author, David Stephenson, is an internationally recognized expert and frequent keynote speaker in the fields of data science and Big Data analytics. He has shaped and led global analytics programs at US and European companies, including eBay and Axel Springer.
Stephenson’s writing style is practice-oriented and accessible, making the book suitable for both beginners and experienced practitioners. It provides a good overview of the topics and is a useful introductory book on the subject.
Overall, this book is a valuable resource for anyone wanting to succeed in the business world by leveraging Big Data, AI, and data science. It offers a practical guide and relevant case studies, helping readers better understand and apply the topics.
I would definitely recommend this book, especially for those seeking a quick and practice-oriented insight into Big Data, AI, and data science topics.
This text was created with the help of ChatGPT.
