The Executive's Guide To Ai And Analytics: The Foundations Of Execution And Success In The New World - 9781032007946

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? This book is meant to be read by the CEO and other executive decision makers in an organization, so that they can plan and implement a successful AI or analytics program. It builds on the information shared in It's All Analytics: The AI, Analytics and Data Science Landscape for Professionals in Healthcare, Business and Government, the first book in a series of three. Book II in this series is more for the lower level executive, manager or analytics architect responsible for design decisions at a broad and detailed level. And others that will be involved in the implementation of a successful analytics program. But in order to do that, these personnel need the full backing of the CEO and executive decision makers. It is appropriately focused on the business and people as well as the technology, emphasizing the need of the CEO and related decision makers to be fully engaged in the program, in order to have success. It's a quick read by senior level managers to provide a better understanding of analytics, AI and data science to help guide them in their decision-making process.

• | Author: Scott Burk|Gary D. Miner
• | Publisher: Productivity Press
• | Publication Date: Jun 06, 2022
• | Number of Pages: 122 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 103200794X
• | ISBN-13: 9781032007946