Reskilling and Upskilling in the Age of AI (Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management)

Reskilling and Upskilling in the Age of AI (Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management)

This book offers a comprehensive guide to navigating the transformation of the workforce due to the influence of artificial intelligence (AI) across industries and discusses detailed strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape. As AI continues to reshape sectors and redefine job roles, the need for a strategy for an adaptable and well-equipped workforce has never been more critical. By analyzing AI’s integration with other emerging technologies, such as blockchain and IoT, and their specific impact across sectors, this book prepares readers to meet the unique demands of an AI-driven workforce transformation. Covers strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape - Provides actionable insight with a global outlook and offers customized approaches for workforce transformation in key sectors such as healthcare, manufacturing, and finance - Acknowledging the distinct challenges and opportunities across geographies, it includes in-depth case studies from both developed and emerging economies to showcase diverse workforce adaptation strategies - Emphasizes ethical considerations, such as data privacy and AI bias, as well as the crucial role of leadership in driving a workforce prepared for AI disruptions - Offers a forward-looking approach to developing resilient, adaptable workers equipped for continuous learning and responsive to rapid technological advances This professional text is for business professionals, leaders, workforce development professionals, scholars, and academics aiming to thrive in an AI-driven economy. Joanna Rosak-Szyrocka, PhD - Assistant Professor and Erasmus+ Coordinator at the Faculty of Management, Czestochowa University of Technology, Poland. She serves as Deputy Executive Editor of the Management Systems in Production Engineering journal. Her research interests include digitalization, sustainable development, Industry 5.0, Quality 4.0, higher education, and artificial intelligence. She has completed research internships at the University of Žilina (Slovakia) and the Silesian University of Technology (Poland). She has actively participated in numerous Erasmus+ teaching mobility programs in countries such as Italy, the United Kingdom, Slovenia, Hungary, the Czech Republic, Slovakia, and France. Member of IEEE Advancing Technology for Humanity in 2022, Association of Quality and Production Managers. Participant of the scientific project VEGA No. 1/0067/11 Dynamics and Content of Decision-making Processes in Motivating Human Potential, granted by Ministry of Education of Slovak Republic. She is a co-editor and contributor to 10 scientific monographs published by Routledge and Taylor & Francis and has authored or co-authored over 100 publications in high-impact academic journals. Since the beginning of her academic career, she has consistently received Rector's Awards for scientific excellence. In 2019, she was honored with a diploma for the substantive supervision of a diploma thesis awarded in the national IKAR JAKOŚĆ competition. In 2023, she received the Bronze Medal of the President of the Republic of Poland for distinguished long-term service. Sumit Tripathi, PhD, an Associate Professor in the Big Data Analytics Department at the Goa Institute of Management, Goa, India, has 15 years of experience in research and teaching. Holding a Ph.D. from the prestigious Indian Institute of Technology (BHU), Dr. Tripathi further honed his skills and expanded his knowledge through a postdoctoral research position at Linköping University in Sweden. Specializing in cutting-edge areas such as Artificial Intelligence, computer vision, deep learning, machine learning, and Generative AI, Dr. Tripathi has made significant contributions to the field over the course of his extensive career. His research has been disseminated through numerous publications in well-regarded scientific indexed journals and presented at prestigious conferences worldwide. Dr. Tripathi has not only demonstrated a commitment to advancing the field through academic contributions but has also translated his ideas into practical applications, filing patents that reflect his innovative thinking. In addition to his research endeavours, Dr. Tripathi brings a wealth of experience to academia, having spent 15 years dedicated to research and teaching. He has also authored a book on artificial intelligence. This multifaceted approach to academia and industry demonstrates Dr. Tripathi's commitment to bridging the gap between theoretical advancements and real-world applications in the rapidly evolving field of AI. Manuel B. Garcia is a professor of information technology and the founding director of the Educational Innovation and Technology Hub (EdITH) at FEU Ins