Vikas Garg – författare

This new volume familiarizes readers with the very relevant concepts of human resources and finance in Industry 4.0. The book looks at the adoption of current fast-moving computers and automation in the workplace and its impact on the financial aspects of human resources and how HR can be enhanced with smart and autonomous systems fueled by data and machine learning.

The chapters offer case studies that provide firsthand knowledge of real-life problems, solutions, and situations faced by the industry. The volume highlights the thought process in resolution of the complex problems. Topics include HR management approaches, global HR challenges, behavioral finance for financial acumen, corporate social responsibility, women empowerment in the HR industry, emotional intelligence in the era of Industry 4.0, and more.

This new volume familiarizes readers with the very relevant concepts of human resources and finance in Industry 4.0. The book looks at the adoption of current fast-moving computers and automation in the workplace and its impact on the financial aspects of human resources and how HR can be enhanced with smart and autonomous systems fueled by data and machine learning.

The chapters offer case studies that provide firsthand knowledge of real-life problems, solutions, and situations faced by the industry. The volume highlights the thought process in resolution of the complex problems. Topics include HR management approaches, global HR challenges, behavioral finance for financial acumen, corporate social responsibility, women empowerment in the HR industry, emotional intelligence in the era of Industry 4.0, and more.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner.

It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI.

This book will feature:

This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner.

It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI.

This book will feature:

This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

This new volume examines the dramatic impact of the COVID-19 pandemic and its embrace of the digital revolution on human resources management practices, providing a better understanding of the emerging role of HR 4.0 and equipping HR professionals with the knowledge they need to chart plausible future organizational directions. The book will familiarize readers with the most relevant and latest concepts of HR 4.0 practices, providing tools for solutions to complex problems in managing a multigenerational workforce in this volatile, uncertain, complex, and ambiguous (VUCA) world. The chapter authors discuss an array of topics, including the work-from-home transition, digitization of the workforce, employee work-life balance, task automation technologies via AI, HRM curriculum at schools and universities, employee development, e-recruitment, internal marketing, and more.

This new volume examines the dramatic impact of the COVID-19 pandemic and its embrace of the digital revolution on human resources management practices, providing a better understanding of the emerging role of HR 4.0 and equipping HR professionals with the knowledge they need to chart plausible future organizational directions. The book will familiarize readers with the most relevant and latest concepts of HR 4.0 practices, providing tools for solutions to complex problems in managing a multigenerational workforce in this volatile, uncertain, complex, and ambiguous (VUCA) world. The chapter authors discuss an array of topics, including the work-from-home transition, digitization of the workforce, employee work-life balance, task automation technologies via AI, HRM curriculum at schools and universities, employee development, e-recruitment, internal marketing, and more.

This book explores the emergence of artificial intelligence blended with financial concepts as a promising new area in business and technology—financial technology, or fintech.

The book introduces the very relevant concepts of fintech, its financial derivatives, management information systems, and artificial intelligence and provides tools to find solutions to complex problems in the finance and investment domain. The case studies provide firsthand knowledge of real problems faced by the industry and highlights the thought processes in resolution of complex problems.

Topics address the global adoption of fintech, fintech disruptions in the financial sector, the use of machine learning and artificial intelligence to increase the effectiveness of financial trading algorithms, fintech in retail banking and risk management, inbound marketing as well as internal marketing for fintech, fintech in the international education sector, and more.

Both business professionals and those in the technical industry will find this book to be of great use. It will be quite helpful for both professionals and students in the fields of finance and artificial intelligence.

This book explores the emergence of artificial intelligence blended with financial concepts as a promising new area in business and technology—financial technology, or fintech.

The book introduces the very relevant concepts of fintech, its financial derivatives, management information systems, and artificial intelligence and provides tools to find solutions to complex problems in the finance and investment domain. The case studies provide firsthand knowledge of real problems faced by the industry and highlights the thought processes in resolution of complex problems.

Topics address the global adoption of fintech, fintech disruptions in the financial sector, the use of machine learning and artificial intelligence to increase the effectiveness of financial trading algorithms, fintech in retail banking and risk management, inbound marketing as well as internal marketing for fintech, fintech in the international education sector, and more.

Both business professionals and those in the technical industry will find this book to be of great use. It will be quite helpful for both professionals and students in the fields of finance and artificial intelligence.

The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader.

Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields, such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more.

This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.

The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader.

Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields, such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more.

This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.

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.

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.