Preface xix 1 Crafting Effective AI Adoption Strategies 1 Aarti Neema and Rashid Khan 1.1 Introduction 2 1.2 Understanding Business Objectives 2 1.3 Seller-Centric and Customer-Centric Approaches 3 1.4 Comparison of Seller-Centric Approach and Customer‐Centric Approach 4 1.5 Readiness Assessment 5 1.6 Data as the Foundation 6 1.7 Data Collection and Management 9 1.8 Data Integration 9 1.9 Building an AI Dream Team: Unleashing the Power of Expertise 11 1.10 Choosing the Right AI Solutions: Navigating the Sea of Possibilities 16 1.11 Ethics and Transparency: Ensuring Moral Integrity in AI Adoption 17 1.12 Managing Change and Resistance: Navigating the Human Dynamics of AI Adoption 19 1.13 Measuring Success and Iterative Improvement: Data-Driven Evolution of AI Initiatives 20 1.14 Conclusion: Navigating the AI-Enabled Future 22 References 23 2 Role of Artificial Intelligence in Management and Preservation of Old Text Through New Tech 25 Veenus Jain, Pallavi Mohanan and Mkrtchyan Naira 2.1 Introduction 25 Conclusion 35 References 36 3 Deployment of AI and ML Techniques in the Form of Ontology for Improving Business Management Perspectives 39 Aman Jandwani, Balraj Verma, Amit Mittal, Paras Jandwani and Gagandeep Singh Narula 3.1 Introduction 39 3.2 AI/ML Applications in Business and Marketing Management 41 3.3 Methodology Adopted 41 3.4 Discussion and Findings 43 3.5 A Few Studies in Context of Innovation and Business Opportunity or Enterprise Ontologies 46 3.6 Conclusion and Future Scope 52 References 53 4 Blockchain in Supply Chain Management: Applications, Advantages and Challenges 57 Pijush Kanti Dutta Pramanik and Saurabh Pal 4.1 Introduction 57 4.2 Related Work 59 4.3 Importance of Efficient SCM in Business 60 4.4 Components of SCM 66 4.5 Issues in Traditional SCM Systems 67 4.6 Advancement in SCM 68 4.7 Use of Blockchain in SCM 69 4.8 Advantages of Blockchain for SCM 70 4.9 Challenges in Implementing Blockchain in SCM 71 4.10 A General Framework of Blockchain-Based SCM 72 4.11 Considerations for Implementing Blockchain in SCM 74 4.12 Case Studies of Blockchain Adoption in SCM 75 4.13 Conclusions 77 References 78 5 Artificial Intelligence for Supply Chain Optimization: Benefits, Challenges, and Potential Solutions 81 Dhruv Kishore Bole and Narasimha Rao Vajjhala 5.1 Introduction 81 5.2 AI in Organizational Supply Chain: Benefits 83 5.3 AI in Organizational Supply Chain: Implementation Challenges 85 5.4 Conclusion 90 5.5 Future Work 90 References 91 6 Fusing New Age Technologies with Marketing Management: Navigating the Digital Frontier 95 Ankitha K., Jayapadmini Kanchan, Harish Kunder, Shwetha S. Shetty, Ganaraj K. and Madhura Hegde 6.1 Introduction 96 6.2 The Evolution of Marketing Management in the Digital Era 97 6.3 Understanding New Age Technologies in Marketing 98 6.4 Leveraging Data-Driven Insights for Targeted Marketing 100 6.5 Enhancing Customer Engagement Through Immersive Experiences 100 6.6 The Power of Social Media and Influencer Marketing 100 6.7 Blockchain for Transparent and Trustworthy Marketing 101 6.8 The Challenge of Data Privacy and Ethics 101 6.9 Overcoming Barriers and Implementing New Age Technologies 102 6.10 Conclusion 102 References 102 7 Nth Floor at Accenture—Next-Gen Onboarding Using Metaverse 105 Rachna Bansal Jora, Ansh Agrawal, Edoardo Mazzetto, Sweta Dixit and Samson Lallawmkipa Darlong 7.1 Introduction 105 7.2 Concept of Metaverse 109 7.3 Nth Floor at Accenture 112 7.4 Conclusions 117 References 117 8 Smart HR with Smart Technologies 121 Arnav Malhotra, Alka Maurya and Balasundram Maniam 8.1 Introduction 121 8.2 Technology Integration for Effective Human Resource Management 121 8.3 Adoption of Latest Technologies for Effective HRM 125 8.4 Conclusion 132 References 133 9 Securing Business Transactions Using Merkle Tree 137 Ambika N. 9.1 Introduction 137 Background 144 Merkle Tree 144 Literature Survey 146 Previous Study 148 Analysis of the Work 151 Future Scope 154 Conclusion 156 References 156 10 InvestoAI-Tailored Investment Recommendation 159 Niomi Samani, Tejas Uttare, Rama M. Maliya and Kedar Semani 10.1 Introduction 160 10.2 Literature Survey 161 10.3 Methodology 165 10.4 Conclusion and Future Scope of Work 179 References 182 11 Using AI Technology to Enhance Data-Driven Decision-Making in the Financial Sector 187 Meng Wu, Geetha Subramaniam, Zeyu Li and Xiuchun Gao 11.1 Introduction 188 11.2 An Overview of AI Technology in Financial Analysis 190 11.3 Case Studies of AI Technology in Financial Analysis 194 11.4 Conclusion, Challenges, and Outlook 204 References 205 12 The Role of Artificial Intelligence (AI) in the Transformation of Smalland Medium-Sized Businesses: Challenges and Opportunities 209 Arjita Jain, Kiran Shrimant Kakade and Swati Amit Vispute 12.1 Introduction 209 AI and Business Transformation in SMEs 211 Growth of Artificial Intelligence Structures 212 Implications of AI Systems for SMEs 213 Implications for the Business Environment 214 AI Diffusion and Challenges for SMEs 214 Contribution of Artificial Intelligence (AI) in Transforming Businesses 218 Overcoming Barriers and Ensuring Inclusivity 221 Future Directions and Policy Interventions 222 Future Research 223 Conclusion 224 References 225 13 Applications of Artificial Intelligence and Machine Learning-Enabled Businesses: A SWOT Analysis for Human Society 227 Santanu Koley, Shatadru Sengupta, Bipasha Biswas, Kankana Datta, Manasi Jana and Apratim Mitra 13.1 Introduction 228 13.2 Artificial Intelligence 229 13.3 Machine Learning 230 13.4 Deep Learning 231 13.5 Applications of AI, ML and DL in Various Types of Businesses with SWOT Analysis 232 13.6 Conclusion 255 13.7 Future Work 256 References 256 14 Gamified Learning Environments for Higher Education Sustainability in Delhi Metropolitan Region 263 Sonia Yadav, Sweta Dixit, Rachna Bansal and Canh Van Ta 14.1 Introduction 263 14.2 “Gamification” Online and Education for Sustainability 264 14.3 Gamification and Theory of Self Determination 264 14.4 In-Class Instruction in an Online Gamification EfS Learning Exercise 266 14.5 The Idea of Gamification in Online Education 267 14.6 Sustainability and Gamification in Recent Times 267 14.7 Ecological Online Education 268 14.8 Objectives 269 14.9 Research Methodology 269 14.10 Data Analysis 269 14.11 Conclusion 271 References 272 15 Exploring the Impact of AI on Management and Healthcare for Streamlining Operations and Decision-Making 275 Pranshu Mathur and Ajay Kumar 15.1 Introduction 275 15.2 Conceptual Framework 276 15.3 Research Methodology 277 15.4 AI Applications in Management 281 15.5 Conclusion 286 15.6 Future Research Direction 286 References 286 16 Empowering Defense: Harnessing AI for Next-Generation Warfare 289 Nikki Rani, Komal Jindal, Rita Chikkara and Nidhi Malik 16.1 Introduction 289 16.2 AI Complies with Acquisition Procedures and Defense Behaviors 290 16.3 Intelligent DDoS Mitigation System 295 16.4 Advancing Defense: Nanotechnology and Natural Pathogen Defense in Fish 298 16.5 Emerging Technologies and Defense: Exploring the Intersection of AI, Robotics, Swarm Drones, and India’s Defense Preparedness 300 16.6 AI Projects in Defense: Impressive Achievements by the Indian Government 304 16.7 Conclusion and Future Scope 307 References 308 17 Industry Augmented Reality Along with Artificial Intelligence: Developments, Resources, and Possible Concerns 311 Sarabjeet Singh Sethi and Priyanka Sharma 17.1 Introduction 311 17.2 The Frameworks and Platforms for Augmented Reality 313 17.3 Artificial Intelligence with Augmented Reality in Enterprise 320 17.4 Challenges 324 17.5 Conclusion 325 References 326 18 Transformative Effects of Smarter Chatbots: Unravelling the Vision, Challenges, and Capabilities of ChatGPT-Conversational AI 333 C. Kishor Kumar Reddy, Patlolla Sathvika Reddy, Ashritha Pilly and Srinath Doss 18.1 Introduction 333 18.2 ChatGPT Summary Compilation 335 18.3 Architecture of ChatGPT 340 18.4 Training ChatGPT 341 18.5 Applications of ChatGPT 345 18.6 Conclusion 348 References 348 19 Application of Artificial Intelligence in Business Management for Prudent Decision Making 351 Syed Tabassum Sultana and T. Venkat Narayana Rao 19.1 Introduction 351 19.2 Review of Literature 352 19.3 Merits and Cons in Business Decisions with AI Involvement 354 19.4 Applications of AI Tools in Business Models 355 19.5 Artificial Intelligence-Based Data-Driven Insights 356 19.6 How AI Can Transform the Industry 359 19.7 Process Optimization Empowered by AI 360 19.8 Risk Mitigation Using AI 363 19.9 Applications of AI in Business Processes 365 19.10 Advantages of AI 366 19.11 Conclusion 367 References 368 20 Technology-Driven Business Ethics: A Philosophical Discourse 371 Sooraj Kumar Maurya, Amarbahadur Yadav and Rajiv Nayan 20.1 Introduction 371 20.2 Research Methodology 372 20.3 Business Ethics and Technology 372 20.4 Evaluating the Applicability of Ethical Theories in Tech‐Infused Business Landscapes 373 20.5 Hurdles Encountered in Maintaining Ethical Standards Within Technology-Driven Business Environments 378 20.6 Conclusion 386 References 387 21 Harnessing the Power of Artificial Intelligence for Sustainable Development 391 Ayan Harsh Sinha, Alka Maurya and J. Mark Munoz 21.1 Introduction 391 21.2 Conclusion 395 References 395 22 University Students’ Perception of Artificial Intelligence (AI) for Entrepreneurship Development in Selected Asian Countries of China, India, Indonesia, and Malaysia 397 Doris Padmini Selvaratnam, Jaheer Mukhtar K.P., Evi Gravitiani and Wen Meiting 22.1 Introduction 397 22.2 Student Entrepreneurship 399 22.3 Sustainability Livelihood 399 22.4 Theoretical and Conceptual Framework 400 22.5 Methodology 402 22.6 Results and Discussion (ALL) 402 22.7 Future of Entrepreneurship With The Advancement of Artificial Intelligence (AI) 418 22.8 Policy Implication 418 22.9 Conclusion 419 References 419 23 Clubhouse Unleashed: Harnessing the Power of Voice for Robust Social Networking and Business Growth 421 Pooja Darda, Shailesh Pandey, Om Jee Gupta, Manpreet Kaur and Sanjaya Singh Gaur 23.1 Introduction 422 23.2 The Rise of Clubhouse 422 23.3 The Clubhouse is the Next Major Thing 423 23.4 Clubhouse’s Unique Appeal 425 23.5 Brands Leveraging Clubhouse 428 23.6 Psychological Aspects of Clubhouse Success 431 23.7 The Acceptance and Arrival of Clubhouse in India 432 23.8 Social Audio Application Challenge 432 23.9 Clubhouse Expansion 433 23.10 Conclusions and Future Scope 433 References 436 24 Artificial Intelligence (AI) as Strategy to Gain Competitive Advantage for Australian Higher Education Institutions (HEI) Under the New Post COVID-19 Scenario 439 Rubaiyet Hasan Khan and Rohini Balapumi 24.1 Introduction 440 Types of Higher Educational Institutions in Australia 440 Business Processes in Australian HEIs 441 COVID-19 Impact on Business Processes for Australian HEIs 442 Key Challenges of the Current Day 444 Possible Solutions 445 References 447 25 AI for a Better Future—Perspectives from Young Employees in Malaysia and China 451 Geetha Subramaniam, Wang Zhe, Zhu Dan and Narayanaswami Subramaniam 25.1 Introduction 451 25.2 Integration of AI in Job Roles and Professional Development 456 25.3 Ethical and Social Implications of AI 457 25.4 Future of AI in the Work Ecosystem 460 25.5 Ability to Adapt to Use AI in Training and Job Roles 462 25.6 Conclusion—AI and Workforce of the Future 464 References 464 26 Personalization and Customer Experience in the Era of Data-Driven Marketing 467 Ambarish G. Mohapatra, Anita Mohanty, Subrat Kumar Mohanty, Nitaigour Premchand Mahalik and Sasmita Nayak 26.1 Introduction to Data-Driven Marketing and Personalization 467 26.2 Customer Segmentation and Targeting Strategies 472 26.3 Content Personalization and Dynamic Messaging 478 26.4 Optimizing Customer Journeys with Data Insights 483 26.5 The Role of Artificial Intelligence in Personalization 487 26.6 Personalization and Privacy: Balancing Data Ethics 492 26.7 Personalization in Omnichannel Marketing 497 26.8 Personalization in E-Commerce and Retail 501 26.9 Conclusion 506 References 509 Index 513

This book has a multidimensional perspective on AI solutions for business innovation and real-life case studies to achieve competitive advantage and drive growth in the evolving digital landscape. Artificial Intelligence-Enabled Businesses demonstrates how AI is a catalyst for change in business functional areas. Though still in the experimental phase, AI is instrumental in redefining the workforce, predicting consumer behavior, solving real-life marketing dynamics and modifications, recommending products and content, foreseeing demand, analyzing costs, strategizing, managing big data, enabling collaboration of cross-entities, and sparking new ethical, social and regulatory implications for business. Thus, AI can effectively guide the future of financial services, trading, mobile banking, last-mile delivery, logistics, and supply chain with a solution-oriented focus on discrete business problems. Furthermore, it is expected to educate leaders to act in an ever more accurate, complex, and sophisticated business environment with the combination of human and machine intelligence. The book offers effective, efficient, and strategically competent suggestions for handling new challenges and responsibilities and is aimed at leaders who wish to be more innovative. It covers the early stages of AI adoption by organizations across their functional areas and provides insightful guidance for practitioners in the suitable and timely adoption of AI. This book will greatly help to scale up AI by leveraging interdisciplinary collaboration with cross-functional, skill-diverse teams and result in a competitive advantage. Audience This book is for marketing professionals, organizational leaders, and researchers to leverage AI and new technologies across various business functions. It also fits the needs of academics, students, and trainers, providing insights, case studies, and practical strategies for driving growth in the rapidly evolving digital landscape.