AI-Driven Revolution: Transforming the Business Landscape

Ai-driven Revolution: Transforming The Business Landscape (Artificial Intelligence in Organizations: Transformative Technologies, Applications, and Impacts) book cover

Ai-driven Revolution: Transforming The Business Landscape (Artificial Intelligence in Organizations: Transformative Technologies, Applications, and Impacts)

Author(s): Tereza Raquel Merlo (Editor)

  • Publisher Finelybook 出版社: WSPC (EUROPE)
  • Publication Date 出版日期: October 28, 2025
  • Language 语言: English
  • Print length 页数: 424 pages
  • ISBN-10: 1800616562
  • ISBN-13: 9781800616561

Book Description

In an era where digital transformation is no longer a choice but a necessity, AI-Driven Revolution: Transforming the Business Landscape serves as a comprehensive guide for business leaders, entrepreneurs, and technology enthusiasts, as well as academics and students eager to harness the power of artificial intelligence (AI). This book delves into the profound impact AI is having on businesses and knowledge professions across various industries and fields, providing case studies and suggesting a roadmap for successfully integrating AI into organizational strategies and operations. Readers will find practical advice on developing AI strategies, selecting the right technologies, and aligning AI initiatives with business goals whilst maintaining a discussion on the ethical implications of AI, including data privacy, algorithmic bias, and compliance with regulations, ensuring responsible and sustainable AI practices. The book embarks on an in-depth exploration of AI technologies such as machine learning, natural language processing, and robotics, and their role in driving digital transformation. The chapters utilize detailed case studies to showcase how leading companies have implemented AI to revolutionize their business models, enhance efficiency, and create new value propositions. Using this knowledge, an overview is provided of emerging AI trends and innovations, from advanced analytics and predictive modeling to AI-driven customer experiences. By bridging the gap between theoretical concepts and practical applications, readers are empowered to not only grasp the significance of AI but also effectively implement it within their organizations, ensuring that they are at the forefront of the digital revolution.

Editorial Reviews

Editorial Reviews

About the Author

About the EditorsDr Tereza Raquel Merlois a postdoctoral researcher at the Federal University of Rio de Janeiro (UFRJ), program affiliated with the Brazilian Institute of Information in Science and Technology (IBICT). At the University of North Texas, she instructs courses in Knowledge Management Tools and Technologies. Dr Merlo is also the CEO of Merlo Management Consulting, where she delivers global business solutions. She is a postdoctoral researcher at the Federal University of Rio de Janeiro (UFRJ), affiliated with the Brazilian Institute of Information in Science and Technology (IBICT), and holds the positions of researcher, professor, practitioner, and consultant at the University of North Texas.Dr Merlo earned her PhD in Organizational Management with a minor in Information Technologies, complemented by two Master’s degrees in Information Sciences from the Federal University of Bahia (UFBa) and the University of North Texas. She has been recognized with numerous awards for leadership, data and project management, information literacy, diversity and inclusion, and business development. Her academic journey includes prestigious scholarships such as Coordenacão de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Fundação de Amparo à Pesquisa do Estado da Bahia (Fapesb).She actively contributes to scientific committees for journals like Knowledge and Performance Management, Knowledge-Based System, and the Journal of Information and Knowledge Management. Dr Merlo serves on the international advisory board of the International Conference on Knowledge Management (ICKM) and has chaired several of its annual conferences. Most recently, she was invited to be part of the scientific committee for the Glossary of Innovation, Organizational Knowledge, and Scientific and Technological Informationby the Brazilian Institute of Information in Science and Technology (IBICT).Dr Merlo authored and edited the book Understanding, Implementing, and Evaluating Knowledge Management in Business Settings published by IGI-Global and AI and data analytics in organizational management. Her extensive professional experience encompasses engagements with multiple Fortune 100 companies, leading projects and teams on deal management, cloud computing, data analytics, business intelligence, and sales operations and strategies.

About the ContributorsDr-Ing. Kay Alwertis a consultant, scientist, lecturer, and entrepreneur with over 25 years of experience in business management, specializing in knowledge, information, and innovation management. He holds a degree in Civil Engineering from the Karlsruhe Institute of Technology and earned his PhD in management at the Technical University of Berlin, complemented by research in philosophy and artificial intelligence. He serves as General Manager at alwert GmbH & Co. KG and previously led R&D at a German AI start-up for smart heat grid solutions. He also lectures at the University of Leipzig and the University of Applied Sciences Burgenland in Austria.

Dr Fariba Fardis an adjunct faculty member in Data Science at the University of North Texas (UNT). Her research spans statistics, machine learning (ML), artificial intelligence (AI) applications, remote sensing, and geo-spatial information science (GIS). Dr Fard has authored 18 publications, including peer-reviewed journal articles and conference papers. She has received prestigious awards for her dissertation and innovative contributions to the field. Currently, she serves as a Data Scientist at PACCAR North Texas, where she leverages advanced analytics, machine learning, and AI to address complex challenges in the automative industry. Beyond her professional endeavors, Dr Fard is passionate about mentoring young professionals in ML and AI and is an advocate for promoting women in STEM.

Dr Suliman Hawamdehis a Regents Professor in the Department of Information Science, College of Information, University of North Texas. He is a leading authority in the field of knowledge management and the editor in chief of the Journal of Information and Knowledge Management (JIKM). He founded and directed several academic programs including the first Master of Science in Knowledge Management in Asia in the School of Communication and Information at Nanyang Technological University in Singapore and the Master of Science in Data Science at University of North Texas. He served as a department chair and director of the interdisciplinary PhD program in Information Science from 2010–2018. He served in the capacity of chair, founding chair, and president of several national and international professional associations and conferences, including the International Conference on Knowledge Management (ICKM). In 2020, he received the ALISE Award for Professional Contribution to Library and Information Science Education. He is also a distinguished member of ASIST.

Renato Salvador Coutinhois an auditor at the Central Bank of Brazil, where he has led areas responsible for Governance, Strategic Management, Project Management, and Data Science within the monetary authority and other state institutions. He holds the Project Management Professional (PMP) and HCMP 3G Expert Professional certifications. Currently, Mr Coutinho is pursuing a doctorate in Knowledge Engineering, focusing on the application of Generative AI models in finance. This builds on his master’s studies in the same field at the Federal University of Santa Catarina (UFSC) and in Informatics at the Federal University of Rio de Janeiro (UFRJ). His areas of expertise include governance, strategic management, data-driven decision-making, artificial intelligence, data science, and suptech tools.

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