This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI’s development and application across a number of business contexts. Taking current scholarship forward in its engagement with AI theory and practice for enterprises and applied research and innovation, it outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI and preparing companies for job transformation and building skills. This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.

This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.

Artificial Intelligence for Business Creativity provides an in-depth examination of the integration of Artificial Intelligence (AI) into the business sector to foster creativity. The book explores the interplay between micro-level individual creativity and macro-level organizational innovation through the lens of AI. It delves into three crucial areas where AI can stimulate business creativity: product and service design, optimized processes, and enhanced organizational collaboration. The authors also highlight the versatility and capability of generative AI systems in promoting creativity and innovation. Intended for business leaders, managers, entrepreneurs, and those interested in AI and creativity, the book offers practical guidance and insightful recommendations on how organizations can effectively utilize AI to enhance their creative process. By offering a comprehensive understanding of the role of AI in fostering creativity, the book equips its readers with the tools to stay ahead in the rapidly changing landscape of AI and creativity. This book is a valuable resource for anyone seeking to understand the impact of AI on business creativity and how to effectively leverage it to foster creativity and innovation in their organization. It is a must-read for anyone looking to increase their knowledge and understanding of AI and its impact on business creativity.

This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.

This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

"The Benefits of Using Artificial Intelligence for Business Success: Strategies for Innovation, Efficiency, and Growth" is an indispensable resource for business leaders, entrepreneurs, and students alike navigating the AI revolution. This comprehensive guide offers cutting-edge insights on leveraging AI's transformative power to drive unprecedented growth and competitive advantage. Readers will discover how to develop robust AI implementation strategies, optimize operations, enhance customer experiences, foster innovation, and ensure ethical AI adoption. Packed with real-world case studies, expert analysis, and actionable frameworks, this book illuminates AI applications across diverse industries—from healthcare and finance to retail and emerging markets. It explores how to harness predictive analytics, machine learning, and automation to unlock new revenue streams and operational efficiencies. For students pursuing dissertations in business, technology, or related fields, this book provides a wealth of current, well-researched information and a solid foundation for academic exploration. Whether you're a C-suite executive, startup founder, industry professional, or ambitious student, this authoritative guide equips you with the knowledge and tools to lead in the AI-driven business landscape. Don't just adapt to the AI revolution—lead it.

This new book provides a valuable overview of how artificial intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest artificial intelligence-based solutions for e-commerce, corporate management, finance, banking and trading, and more. Chapters look at using AI and machine learning techniques to forecast and assess financial risks such as liquidity risk, volatility risk, and credit risk. The book also describes the use of natural language processing and text mining paired with machine learning models to assist in guiding sophisticated investors and corporate managers in financial decision making. Other topics include cryptocurrency in emerging markets; the role of artificial intelligence in making a positive impact on sustainable development; the use of fintech for micro, small and medium enterprises; the role of AI i financial education; the application of artificial intelligence in cyber security; and more.

The ever-evolving field of management in today's corporate world is marked by constant disruptions and turbulence. The emergence of Artificial Intelligence (AI) and Emotional Intelligence (EI) presents opportunities for automation, optimization, and effective leadership, but it also raises concerns about job displacement and the need to bridge the gap between these two domains. AI and Emotional Intelligence for Modern Business Management: Bridging the Gap and Nurturing Success offers solutions to closing the knowledge gap. This book provides comprehensive insights and practical strategies to academic scholars, researchers, practitioners, educators, and students. Targeting a diverse audience, this book serves as a solution-oriented resource for navigating the complexities of AI and EI in business management. By addressing both AI and EI, the book equips readers with the necessary tools to integrate these domains seamlessly into modern business management practices, stimulating informed discussions, inspiring innovative approaches, and fostering a deeper understanding of the opportunities and challenges posed by these emerging fields.

It is not surprising that there is still a class of individuals who associate artificial intelligence (AI) with works of fiction. But, this perception is gradually losing ground with the frequent use of artificial intelligence in our daily chores, exhibiting a rational dimension. These days, artificial intelligence is all-encompassing phenomena that have an immense impact on social upbringing. It is true that artificial intelligence ably finds its relevance in our mainstream culture as a revolutionary trend, but the idea is not new. The contemporary AI postulate came into being much earlier in 1956, so to say. However, it took decades of drudgery and back-breaking perseverance to transform the AI system into a technological revelation.