Kejia Hu – författare
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2 produkter
2 produkter
AI, Society and Digital Transformation
Proceedings of 2025 INFORMS Conference on Service Science, Oxford, UK, July 1-3, 2025
Inbunden, Engelska, 2026
1 870 kr
Skickas inom 10-15 vardagar
This book presents recent research and practice advances in the field of Service Science. It contains selected papers from the 2025 INFORMS International Conference on Service Science, held in Oxford, UK from July 1-3, 2025. The book explores how AI, data, and digital technologies are driving sustainable transformation across industries and society at both national and international levels. It presents new theoretical frameworks, empirical research, and practical applications in the interdisciplinary fields of AI, digital transformation, and service science. The content includes empirical studies, modeling, and theoretical research that examine how AI and data are advancing sustainability across service systems. Topics covered include AI-driven smart cities, sustainable systems, the digital economy, AI ethics and governance, public health and AI, human-AI collaboration, machine learning and data-driven decision-making, quantum computing in service science, and the digital transformation of traditional industries.
1 536 kr
Kommande
Artificial intelligence is no longer a standalone technology. It is reshaping how organizations operate, compete, and create value. Yet most firms remain stuck at early stages of adoption, focusing on isolated use cases rather than true transformation.This book provides a structured, actionable framework to help leaders move beyond experimentation toward enterprise-wide impact. Built around a four-level model consisting of Automation, Personalization, Operational Innovation, and Business Model Innovation, the book offers a clear roadmap for how AI can drive measurable value across different stages of organizational maturity.Drawing on real-world cases across industries, each chapter demonstrates how leading organizations are applying AI in practice, from improving efficiency and customer experience to redesigning core operations and creating entirely new business models. These examples are grounded in concrete outcomes, enabling readers to understand not only what works, but why.A defining feature of the book is its integrated approach to risk and governance. Each case is accompanied by a structured analysis combining PwC’s auditing risk framework (financial, operational, and reputational risks) with legal and regulatory perspectives. This dual lens equips decision-makers to scale AI responsibly while navigating increasing scrutiny around compliance, accountability, and trust.Designed for business leaders, AI strategists, and legal professionals, this book bridges the gap between technical possibility and organizational reality. It provides practical tools, strategic insights, and a disciplined framework to help organizations capture the value of AI, while managing its risks.