Achieving Digital Transformation through Analytics and AI

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.

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 Luis 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.