http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
bridging the gap between technology and strategy
The book makes AI accessible to business leaders, managers, and decision-makers, providing applied knowledge of how technological capabilities might be matched with corporate strategy.
Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Abbreviations -- Editors' Bios -- Contributors -- Chapter 1: AI Integration in Business Management -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Historical Perspective on AI Integration -- 1.4 Operational Efficiency and Customer Relationship Management -- 1.5 Methodological Approaches to AI Integration -- 1.6 Theoretical Perspectives on AI Integration -- 1.6.1 Methodology -- 1.6.2 Data Collection -- 1.6.3 Data Analysis -- 1.6.4 Limitations and Future Considerations -- 1.7 Results
1.8 Conclusion -- 1.9 Discussion -- References -- Chapter 2: Strategic Integration of AI: Transforming Business Landscapes and Driving Innovation -- 2.1 Introduction -- 2.1.1 Types of AI: Narrow AI, General AI, and Super AI -- 2.1.2 Importance of AI in Modern Business -- 2.1.3 Aligning AI Strategies with Business Goals -- 2.2 The Foundations of AI Integration: Assessing Organizational Readiness for AI -- 2.3 Building an AI-Ready Infrastructure -- 2.4 AI in Operations and Supply Chain -- 2.5 AI in Finance and Risk Management -- 2.6 AI and Workforce Transformation
2.6.1 Workforce Upskilling and Training -- 2.6.2 Strategic AI Implementation: Crafting a Comprehensive Strategy -- 2.6.3 Pilot Projects and Scaling AI Solutions -- 2.6.4 Measuring and Sustaining AI Impact -- 2.6.5 Continuous Improvement and Iteration -- 2.6.6 Long-term Sustainability -- 2.6.7 AI and the Future of Business Innovation -- 2.6.8 AI as a Catalyst for Disruption -- 2.7 Future Challenges and Opportunities -- 2.8 Conclusion -- References -- Chapter 3: Bridging the Gap between AI Technology and Strategy for Business Goals -- 3.1 Introduction -- 3.1.1 Importance of AI in Modern Business
3.1.2 Understanding the Role of AI in Business -- 3.2 Case Research and Practical Examples -- 3.3 Challenges and Considerations -- 3.4 The Future of AI in Business -- 3.5 Challenges in Aligning Technology with Strategy -- 3.6 Objectives of the Study -- 3.7 Overview of AI Technologies in Business -- 3.7.1 Advanced AI Technologies and Applications -- 3.7.2 Key Benefits of AI Adoption -- 3.7.3 Bridging the Gap: AI Technology and Business Strategy -- 3.8 Frameworks for Technology-Strategy Integration -- 3.9 Ethical and Organizational Considerations -- 3.10 Conclusion -- References
Chapter 4: Artificial Intelligence as a Catalyst for Entrepreneurial Success -- 4.1 Introduction -- 4.1.1 Entrepreneur 4.0 and Its Features -- 4.1.2 The Role of Artificial Intelligence in Entrepreneurship: A Comprehensive Theoretical Perspective -- 4.1.2.1 Artificial Intelligence and Innovation -- 4.1.2.2 Artificial Intelligence and Decision-Making -- 4.1.2.3 Artificial Intelligence and Market Identification -- 4.1.2.4 Artificial Intelligence and Operational Efficiency -- 4.1.3 Artificial Intelligence as a Catalyst for Entrepreneurial Success -- 4.1.3.1 Process Optimization
edited by Jay Kumar Pandey, Mritunjay Rai, Samrat Ray.
Description based upon print version of record.
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