Synergy of AI and Fintech in the Digital Gig Economy


Book Description

"The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy. This emerging trend has created a unique set of challenges and opportunities, which AI and Fintech are poised to address. This book explores how the convergence of these cutting-edge technologies is reshaping the financial landscape, especially related to the way people work and earn in the gig economy, and examines the rise of the digital gig economy and its impact on the traditional workforce. Written for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of finance and technology. Real-world examples and contributions from industry experts give readers a comprehensive understanding of this hot trending topic"--




Synergy of AI and Fintech in the Digital Gig Economy


Book Description

The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy. This emerging trend has created a unique set of challenges and opportunities, which AI and Fintech are poised to address. This book explores how the convergence of these cutting-edge technologies is reshaping the financial landscape, especially related to the way people work and earn in the gig economy, and examines the rise of the digital gig economy and its impact on the traditional workforce. Synergy of AI and Fintech in the Digital Gig Economy presents the key advancements in AI and Fintech, how they are disrupting traditional financial systems, and how AI-powered tools and platforms are streamlining financial processes, enhancing decision-making, and providing personalized services to individuals and businesses. The book explores how the synergy of AI and Fintech is advancing financial inclusion and looks at how these technologies are providing previously underserved populations with access to financial services and empowering them to participate in the global economy. Highlights include how AI and Fintech are revolutionizing risk assessment and management in the financial sector and discuss the use of advanced algorithms to detect fraud, assess creditworthiness, and mitigate financial risk more effectively. The book also addresses the regulatory challenges and ethical considerations arising from the integration of AI and Fintech and discusses the need for responsible AI and data privacy to ensure sustainable development. Insights, case studies, and practical examples provided in the book show how AI and Fintech are driving transformative changes and represent an area of significant interest and importance in the realm of finance and technology. Written for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of finance and technology. Real-world examples and contributions from industry experts give readers a comprehensive understanding of this hot trending topic.




Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance


Book Description

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.




Workforce 4. 0


Book Description

As AI becomes more integrated into our lives, it's paramount for companies to consider best practices and strategize for the future. That's exactly what Szatvanyi lays out in his book, as he offers examples and insight into this unprecedented reality. Throughout the chapters, he guides readers along an exciting journey that maps out how far we've come -- and how to approach what's next. In the pages, Szatvanyi touches on timely topics, including how to approach hybrid work, re-think the office space, and manage remote teams. He discusses ways for companies to ensure their values align with the places where they operate, along with understanding cultural norms in those regions. He tackles key issues that require mindfulness, including ethical guidelines for AI and the risks related to bias in new technologies. At every step, readers will be invited to reimagine what their organizations could do, the niches where they could operate, and the new markets that could be tapped in the years ahead.




Futureproof Your Career and Company


Book Description

Futureproof or die!In this digital age, it's not just a catchy phrase but a stark reality. Artificial intelligence is infiltrating into our companies and our jobs. The Digital Natives are storming the workplace. The Gig Economy is changing not only who gets the job done but also where, when and how.These three powerful forces - nourished by the digital revolution - are gaining momentum and are expected to peak over the next decade.The rate of disruption and extinction is accelerating. Companies, and industries are going bust. Jobs and skills are becoming irrelevant.Is your career futureproof? Is your company futureproof? This book will help.Written in a storyteller tone and sprinkled with interesting anecdotes and memorable tales, this page-turning read offers actionable insights and proven steps on how you can stay ahead of the curve and flourish in the future. The book has three sections. The Section I dives deep into each trend: Artificial Intelligence, Digital Natives, and the Gig Economy. You will learn...-How powerful are these trends? -Why should you pay attention to them? -How will they impact your career and the company over the next decade?The Section II outlines the five ways to futureproof your career. You will learn how to become...-A fully unleashed human to thrive in the era of AI-A catalyst for change to set you apart from your peers-An alchemist to transform ordinary into extraordinary -A captain with nerves of steel to navigate through turbulent times ahead-A futurist to predict and prepare for the futureThe section III outlines the five ways to futureproof your company. You will learn how to...-Transform your business digitally to lead-Infuse purpose that guides your company as the true North-Unleash the spirit of innovation to be a disruptor-Inspire learning to groom the workforce of tomorrow-Enjoy expedition by engaging your employees




AI and Chatbots in Fintech


Book Description

This book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk management and fraud detection. Lastly, the book discusses the use of ChatGPT for stock price prediction and the detection of financial fraud and examines the role of ChatGPT in the world of cryptocurrency, including how it can be used to make informed investment decisions. Overall, this book provides a comprehensive overview of the different ways AI is being used in FinTech and the potential it holds for improving customer experiences and driving innovation in the financial industry.







The Impact of AI Technology on the Productivity of Gig Economy Workers


Book Description

The arrival of the gig economy has led to an unprecedented explosion of person-to-person task outsourcing: driving, food pickup, and shopping can all be done by someone other than the consumer. Such outsourcing potentially creates new challenges for gig workers: knowing the most efficient route, determining the entrance to the customer's home, or knowing where to find the product they are shopping for. To better understand the extent to which technological innovations can help mitigate these challenges, we conducted field experiments on a grocery shopping platform that uses an AI-enabled guidance system to help shoppers find products on store shelves. We find that, as one would expect, such technology helps by reducing the number of refunds (due to the item being hard-to-find, e.g. located at a pop-up display, etc.) and that less experienced shoppers tend to use this guidance the most. However, counter-intuitively, we also find that the usage of more complex routing algorithms is not free: it takes a longer time to consult AI guidance and picking times increase as a result. Overall, we find that AI improves the effectiveness of gig workers by helping less experienced workers achieve order outcomes that are more comparable to those of more experienced workers, thus increasing both customer satisfaction and revenue per order. However, there are boundary conditions for technology adoption and overuse of technology can even lead to lower productivity.




Asian Economic Integration Report 2021


Book Description

The coronavirus disease (COVID-19) pandemic disrupted both supply and demand sides of an interconnected world economy in 2020. Asia and the Pacific was not immune as lockdowns and travel and trade restrictions affected nearly all aspects of cross-border economic activity. This publication examines the initial impact on trade, investment, finance, and people’s mobility across the region as the pandemic struck. It looks at how regional economies individually or collectively respond to the crisis by, for example, leveraging rapid technological progress and digitalization as well as increasing services trade to reconnect and recover. The theme chapter focuses on digital platforms and how they can accelerate digital transformation across the region.




Cloud Reliability Engineering


Book Description

Coud reliability engineering is a leading issue of cloud services. Cloud service providers guarantee computation, storage and applications through service-level agreements (SLAs) for promised levels of performance and uptime. Cloud Reliability Engineering: Technologies and Tools presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case studies provide readers with techniques to harness cloud reliability and availability requirements in their own endeavors. Both conceptual and applied, the book explains reliability theory and the best practices used by cloud service companies to provide high availability. It also examines load balancing, and cloud security. Written by researchers and practitioners, the book’s chapters are a comprehensive study of cloud reliability and availability issues and solutions. Various reliability class distributions and their effects on cloud reliability are discussed. An important aspect of reliability block diagrams is used to categorize poor reliability of cloud infrastructures, where enhancement can be made to lower the failure rate of the system. This technique can be used in design and functional stages to determine poor reliability of a system and provide target improvements. Load balancing for reliability is examined as a migrating process or performed by using virtual machines. The approach employed to identify the lightly loaded destination node to which the processes/virtual machines migrate can be optimized by employing a genetic algorithm. To analyze security risk and reliability, a novel technique for minimizing the number of keys and the security system is presented. The book also provides an overview of testing methods for the cloud, and a case study discusses testing reliability, installability, and security. A comprehensive volume, Cloud Reliability Engineering: Technologies and Tools combines research, theory, and best practices used to engineer reliable cloud availability and performance.