AI-DRIVEN REVOLUTION: TRANSFORMING THE BUSINESS LANDSCAPE

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.

Contents:

• Foreword (Dr. Vikas Sinha)
• Preface
• Acknowledgments
• AI Literacy and Ethical Frameworks for AI Governance and Societal Impact:
  • Ethical Governance of Generative AI: Accountability, Oversight, and Societal Impact (Tereza Raquel Merlo and Kay Alwert)
  • The Growing Need for AI Literacy in Business and Daily Life (Fariba Fard and Suliman Hawamdeh)
• AI and Machine Learning in Business and Technology: Transforming Industries and Driving Innovation:
  • Use of Machine Learning in Early Warning Systems for Financial Crises Within the Global Financial System (Renato Salvador Coutinho, Paulo Maurício Selig, Aran B Tcholakian Morales, and Fernando Ostuni Gauthier)
  • AI in Organizations: Transforming Cybersecurity for Financial Institutions (Yara Mohammed)
  • AI-Driven Trends and Technologies in Digital Marketing: Shaping Modern Strategies (Preeti Jain and Neetu Chaudhary)
  • Digital Revolution: Transforming the Tourism Business Landscape Post-Pandemic (Sandhya H and Bindi Varghese)
  • AI-Driven Data Analysis and Knowledge Management in Aviation Organizations (Ayse Aslı Yilmaz)
  • The Use of AI in Marine Delimitation Addressing the Equity Principle and Judicial Subjectivity (Refia Nur Yagmur)
• Artificial Intelligence, Equity, and Institutional Development in Higher Education: Global Perspectives:
  • Generative AI: A Disruptive Game Changer in Higher Education (Olateju Jumoke Ajanaku and Earlel Thiyagaratnam)
  • Building Artificial Intelligence Literacy Skills for AI Competency Development in Higher Learning Institutions (Joan Wakasa Murumba and Everlyn Anduvare)
  • Generative AI in Salvadoran Higher Education: Case Studies in Equity and Ethics from the Global South (Tizziana Valdivieso, Oscar A González, and Enmanuel Araujo)
• Innovative Learning and Collaborative Intelligence: Shaping the Future of Human–AI Interaction and Analytics:
  • Application of the Neolearning Methodology in a Networked Corporate University (Angela Maria Fleury de Oliveira, Patrícia de Sá Freire, and Rivaldo Arruda)
  • Collaborative Intelligence: Cultivating Human–AI Partnerships (Jeff M Allen, Tara L Whitson, Mariya Gavrilova Aguilar, and Pamela Scott Bracey)
  • The LAFBAH AI Framework for a Transformative National AI Strategy: Enhancing Morocco's Competitiveness and Strategic Intelligence (Abdelmjid Lafram and Salah Eddine Bahji)
  • Managing Social Noise and Reducing the Impact of Misinformation on Business Practices (Manar Alsaid)
  • How Does the Use of Language Matter in Organizational Change Processes? Setting Up an AI-Based Analytics Approach (Sabine Van Almsick and Christian Stary)
• Index

Readership: This book is designed for business executives, managers, technology professionals, and students interested in gaining a competitive advantage at all levels, from large corporation to startup.