It's All Analytics!: The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government

This book provides a comprehensive overview of the foundations of AI, big data, and data science, and their applications in healthcare, business, and government. It covers key methodologies, such as analytics, AI, statistics, decision science, and optimization, and explains how they can be used to automate and improve decision-making and operations. The book also includes a chapter on data and its various forms, and discusses the next frontiers in these fields, such as applications and designing your environment for success.

Format: Paperback / softback
Length: 272 pages
Publication date: 01 August 2022
Publisher: Taylor & Francis Ltd

The field of technology and terminology is constantly evolving, presenting professionals with new challenges on a daily basis. In recent years, there has been a significant surge in the use of terms and methods that aim to automate and enhance decision-making and operations. Among these terms, analytics has emerged as an overarching descriptor for a diverse range of methodologies. However, other disciplines such as artificial intelligence (AI), statistics, decision science, and optimization, which have been prevalent for decades, have also experienced a resurgence. Additionally, a multitude of other technologies, including business intelligence, online analytical processing (OLAP), and many more, have either been born or revitalized.

Navigating this complex landscape can be daunting for individuals seeking to make sense of the vast array of methodologies and terminology. To address this challenge, this book, the first in a series of three, offers a comprehensive exploration of the foundations of artificial intelligence and analytics. The authors aim to provide readers with an unbiased understanding of the subject, covering the basics such as algorithms, mental concepts, models, and paradigms. In addition, the book delves into the benefits of machine learning and its role in modern computing.

A significant chapter is dedicated to data, exploring the various forms and types of data that exist in today's world. The authors discuss the importance of data in decision-making and provide insights into how data can be collected, analyzed, and interpreted. They also touch upon the challenges associated with data management, such as data privacy, security, and integrity.

To conclude, this book serves as a valuable resource for professionals seeking to gain a deeper understanding of the foundations of artificial intelligence and analytics. By providing a comprehensive and unbiased approach, it equips readers with the necessary skills and knowledge to navigate the evolving technology and terminology landscape. The insights and recommendations offered in this book will undoubtedly contribute to their success in healthcare, business, and government.

Weight: 570g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367493790