Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges
Book information
Description
Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines. Cover Half Title Series Page Title Page Copyright Page Table of Contents List of Contributors Introduction Part 1 Artificial Intelligence: Technological Advancements and Methodologies 1 Artificial Intelligence and Machine Learning: Definitions and Applications 2 Adopting Machine Learning and AI for Data-Driven Decisions 3 Neural Networks and Deep Learning Part 2 Artificial Intelligence in Business: Opportunities and Challenges 4 Artificial Intelligence in Human Resource Management: Objectives and Implications 5 Methodology for Evaluating the Appropriateness of a Business Process for Robotic Process Automation 6 Startups and Artificial Intelligence: Insights from Italy 7 Integrating AI to Blockchain and Cryptocurrency: A Case Study Part 3 The Societal Impact of Artificial Intelligence 8 AI Human Capital, Jobs and Skills 9 AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential 10 AI-Based Technologies in the Phygital Care Journey 11 AI Technologies and Hospital Blood Delivery in Peripheral Regions: Insights from Zipline International 12 Improving Healthcare by Designing AI-Human-Centered Systems Index
Similar books
User Innovation in Healthcare: How Patients and Caregivers React Creatively to Illness (SpringerBriefs in Health Care Management and Economics)
2020 · PDF
Machine Learning Governance for Managers
2023 · PDF
Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications
2023 · PDF
Africa Case Studies in Operations Research: A Closer Look into Applications and Algorithms
2022 · PDF
Machine Learning for Time Series Forecasting with Python
2020 · EPUB
Machine Learning for Time Series Forecasting with Python®
2020 · EPUB
Machine Learning for Time Series Forecasting with Python
2020 · PDF
Fractal-Based Methods in Analysis
2012 · PDF