Produktbild: Artificial Intelligence-Enabled Businesses

Artificial Intelligence-Enabled Businesses How to Develop Strategies for Innovation

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Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.12.2024

Herausgeber

Sweta Dixit + weitere

Verlag

Wiley

Seitenzahl

544

Gewicht

1293 g

Sprache

Englisch

ISBN

978-1-394-23397-7

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.12.2024

Herausgeber

Verlag

Wiley

Seitenzahl

544

Gewicht

1293 g

Sprache

Englisch

ISBN

978-1-394-23397-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Artificial Intelligence-Enabled Businesses
  • 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