Buch, Englisch, 404 Seiten, Format (B × H): 174 mm x 246 mm
Developing, Selling and Implementing Artificial Intelligence in Business
Buch, Englisch, 404 Seiten, Format (B × H): 174 mm x 246 mm
Reihe: Business and Digital Transformation
ISBN: 978-1-041-05347-7
Verlag: Taylor & Francis Ltd
Integrating Business and AI is a comprehensive guide that bridges the gap between technical AI knowledge and practical business applications. It offers strategies for developing, marketing, and leveraging AI solutions across industries.
This book provides readers with actionable insights into AI integration, offering dual perspectives for both vendors and users. It delves into the theoretical foundations of AI technologies while presenting practical frameworks for assessing AI readiness and implementing AI across various business functions. Readers will benefit from detailed strategies for marketing and selling AI solutions, enabling vendors to effectively communicate their value to potential clients. For business users, the book offers guidance on managing AI-driven organizational transformation, addressing workforce concerns, and leveraging AI to gain a sustainable competitive edge. Additionally, the book addresses critical aspects of data management and privacy, helping businesses navigate the challenges of handling sensitive information.
Designed for business leaders, entrepreneurs, AI developers, students, and decision-makers, this book is ideal for those seeking to understand and implement AI in business contexts. It is particularly suited for courses in Business and AI, Digital Business, Innovation and Entrepreneurship, and Technology in Business at undergraduate and postgraduate levels.
Zielgruppe
Postgraduate, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction. PART I: THE AI BUSINESS REVOLUTION Why AI Is Reshaping Commerce & Competition. Chapter 1: AI-Blockchain Convergence: Uncovering Business Opportunities. Chapter 2: Call me VasarAI: AI for Cultural Heritage and Business Innovation. Chapter 3: Strategies for Creating Marketable AI Solutions. Chapter 4: AI as Driver of Sustainable Competitive Advantage. PART II: BUILDING AI READINESS Frameworks for Assessment & Strategic Adoption. Chapter 5: AI Ready or AI Risky? Unified Framework for Business Transformation. Chapter 6: A Framework for Assessing AI Readiness in Businesses. PART III: AI IN ACTION ACROSS BUSINESS FUNCTIONS Operational Excellence Through Intelligent Automation. Chapter 7: Beyond the Buzz: Practical AI Implementation in Business Functions. Chapter 8: AI-Driven Inventory Optimization for Resilient Supply Chains. Chapter 9: AI Innovation in Sustainable Supply Chain Management: A PRISMA Systematic Review. PART IV: THE HUMAN DIMENSION OF AI TRANSFORMATION Managing Change, Ethics & Trust. Chapter 10: Effective Communication and AI Value for Potential Clients. Chapter 11: Management of Organizational Changes During AI Adoption. Chapter 12: Brand Purpose in Ethical Algorithm Design and Implementation: Hospitality Industry Cases. PART V: SPECIALIZED APPLICATIONS & GOVERNANCE AI in Critical, Regulated & High-Stakes Environments. Chapter 13: Data Management and Privacy in AI for Aerospace & Defense: Architecting for Assurance in Critical and Cyber-Physical Systems. PART VI: CASE STUDIES—REAL-WORLD LESSONS From Theory to Practice Across Sectors. Chapter 14: Augmenting Trust: AI & Automation's Impact in Small-Scale Legal Services. Chapter 15: AI in the Legal Sector: Building Trustworthy Legal AI. Chapter 16: AI Strategy Blueprint: A Leadership Mandate in the Age of Artificial Intelligence.
