Due to the rapid emergence of the development and use of Analytics and AI in organizations, this book focuses on these aspects related to digital transformation. We are in the midst of the GenAI craze, with prompt engineering, large language models, and AI ethics playing key roles. According to estimates, about 329 million terabytes of data are created each day [https://explodingtopics.com/blog/data-generated-per-day] or approximately 120 zettabytes per year. With this overabundance of data, in all types of forms, the use of Analytics and AI are essential techniques to help organizations make sense of their digital transformation efforts. In this book volume, we are fortunate to have the contributions of leading individuals worldwide in various sectors, such as organization AI implementation, business management innovation and data gathering using artificial intelligence.
Sample Chapter(s)
Foreword
Chapter 1: Digital Transformation through AI, Machine Learning, and Analytics
Contents:
- Foreword
- Preface
- About the Editor
- Editor's Note
- List of Contributors
- Digital Transformation through AI, Machine Learning, and Analytics (Robert Scavilla)
- A Theory and Methodology for AI-Based Digital Transformation (Neil Hamlett)
- The Missing Link in Digital Transformation: "What About Us Humans?" (Arthur J Murray)
- Accelerating Business Model Development and Organizational Decision-Making Through the Use of AI and Intuition (Peter McAlindon)
- Human-Centric and AI-Centric Approaches in Organizational AI Implementation (Oren Eilam)
- From Data to Decision: Unraveling the Impact of Analytics and AI in the Business Decision-Making Process (Tereza Raquel Merlo)
- The Organizational Impacts of Digital Transformation (Ben Apple and Trisha Shields)
- Management Capabilities in the Age of Generative Artificial Intelligence (GenAI): A Conceptual Framework and Future Research Directions (Tim Heubeck and Patrick Held)
- Insights Unleashed: Harnessing AI for Learning Analytics (Anna Lissitz)
- Knowledge Management in the Artificial Intelligence Era: The Knowledge Universe Transformer (KUT) Topology (Noam Koriat and Roy Gelbard)
- Leveraging AutoML and Explainable AI for Digital Transformation (Marc Schmitt)
- Digital Transformation of Accounting through AI and Analytics: Enhancing Business Intelligence in the Modern Era (Musammat Tahmina Khanom)
- National Information Structures in Science and Technology: Evaluation of the Creation, Evolution, and the Current Situation in Selected Countries (Lillian Maria Araujo de Rezende Alvares, Marcel Garcia de Souza, Washington Luís Ribeiro de Carvalho Segundo, Edgard Costa Oliveira, and Tereza Raquel Merlo)
- Index
Readership: Industry and Government Practitioners (Business/IT Executives, Managers), Educators involved in Digital Transformation and Society, Researchers, students of business management and information technology.
Dr Jay Liebowitz is the Professor of Business Innovation and Industry Transformation and Director of a new AI-EDGE Center in the Crummer Graduate School of Business at Rollins College, as of August 2024. He has recently served as the inaugural Executive-in-Residence for Public Service at Columbia University's Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. He also served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.
Prior to joining Hopkins, Dr Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center. Before NASA, Dr Liebowitz was the Robert W Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair of Artificial Intelligence at the U.S. Army War College.
Dr Liebowitz is the Founding Editor-in-Chief of Expert Systems with Applications: An International Journal (published by Elsevier; ranked as a top-tier journal; Thomson Impact Factor from June 2021 is 8.665). He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems). He has published over 45 books and a myriad of journal articles on knowledge management, analytics, financial literacy, intelligent systems, and IT management. Dr Liebowitz served as the Editor-in-Chief of Procedia-CS (Elsevier). He is also the Series Book Editor of the Data Analytics Applications book series (Taylor & Francis), as well as the Series Book Editor of the new Digital Transformation: Accelerating Organizational Intelligence book series (World Scientific Publishing). In October 2011, the International Association for Computer Information Systems named the "Jay Liebowitz Outstanding Student Research Award" for the best student research paper at the IACIS Annual Conference. Dr Liebowitz was the Fulbright Visiting Research Chair in Business at Queen's University for the Summer 2017 and a Fulbright Specialist at Dalarna University in Sweden in May 2019. He is in the Top 2% of the top scientists in the world, according to a 2019 Stanford Study. As of 2021, he is the Visiting Distinguished Professor at the International School for Social and Business Studies in Slovenia. His recent books are: Data Analytics and AI (Taylor & Francis, 2021), The Business of Pandemics: The COVID-19 Story (Taylor & Francis, 2021), A Research Agenda for Knowledge Management and Analytics (Elgar Publishers, 2021), Online Learning Analytics (Taylor & Francis, 2022), Digital Transformation for the University of the Future (World Scientific, 2022), and Cryptocurrency Concepts, Technology, and Applications (Taylor & Francis, April 2023), Pivoting Government Through Digital Transformation (Taylor & Francis, 2024), and Developing the Intuitive Executive: Using Analytics and Intuition for Success (Taylor & Francis, 2024). His forthcoming book, Regulating Hatred Speech Created by Generative AI, will be published by Taylor & Francis in the Fall 2024. He has lectured and consulted worldwide.
