Applications And Trends In Fintech Ii Cloud Computing Compliance And Global Fintech Trends

This book is the second part of Applications and Trends in Fintech, which serves as a comprehensive guide to the advanced topics in fintech, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing and quantum computing, compliance and risk management, and global fintech trends. Readers will gain knowledge about the applications of fintech in finance and its latest developments as well as trends.This fifth volume covers global fintech trends and emerging technologies such as cloud computing and quantum computing, as well as the compliance and risk management frameworks for fintech companies. Together with the first part in applications and trends (fourth volume), these two books will deepen readers' understanding of the fintech fundamentals covered in previous volumes through various applications and analysis of impacts and trends.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

This book is the first part of Applications and Trends in Fintech, which serves as a comprehensive guide to the advanced topics in fintech, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing and quantum computing, compliance and risk management, and global fintech trends. Readers will gain knowledge about the applications of fintech in finance and its latest developments as well as trends.This fourth volume covers the foundation of fintech, which is ethics and governance, and advanced topics in two of the most important technologies, artificial intelligence and blockchain. Together with the second part in applications and trends (fifth volume), these two books will deepen readers' understanding of the fintech fundamentals covered in previous volumes through various applications and analysis of impacts and trends.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

In the digital era, emerging technologies such as artificial intelligence, big data, and blockchain have revolutionized various ways of people's daily lives and brought many opportunities and challenges to the industries. With the increasing demand for talents in the fintech realm, this book serves as a good guide for practitioners who are seeking to understand the basics of fintech and applications of different technologies. This book covers important knowledge in statistics, quantitative methods, and financial innovation to lay the foundation for fintech. It is especially useful for people who are relatively new to this area and would like to become professionals in fintech.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

The Finance module provides a significant underpinning to the Chartered Fintech Professional (CFtP) qualification. While the topics are familiar to professionals who are traditionally trained in Finance, these topics are required to appreciate the financial problems that technology can help solve. Without a clear appreciation of finance concepts and practice, any professional will have difficulties solving such problems the traditional way, let alone incorporating recent technological breakthroughs. In this module, we provide the basic concepts and knowledge that a fintech professional needs.This book covers the main concepts and theories in finance which include economics, financial statement analysis, financial management, and investment management. Finance for Fintech Professionals is a companion volume to the book on technology that covers fundamental concepts on data, artificial intelligence, and network. Together, these two books form the foundation for a good understanding of finance and fintech applications which will be covered in subsequent volumes.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

As technologies such as artificial intelligence, big data, cloud computing, and blockchain have been applied to various areas in finance, there is an increasing demand for finance professionals with the skills and knowledge related to fintech. Knowledge of the technologies involved and finance concepts is crucial for the finance professional to understand the architecture of technologies as well as how they can be applied to solve various aspects of finance.This book covers the main concepts and theories of the technologies in fintech which consist of big data, data science, artificial intelligence, data structure and algorithm, computer network, network security, and Python programming. Fintech for Finance Professionals is a companion volume to the book on finance that covers the fundamental concepts in the field. Together, these two books form the foundation for a good understanding of finance and fintech applications which will be covered in subsequent volumes.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

This book analyzes the impact of technology in emerging markets by considering conditions and the history of how it has changed the way of working and market development in such contexts. The book delves into key areas such as fintech enterprises, artificial intelligence, pension funds, stock markets, and energy markets though applied studies and research. This book is a useful read for practitioners and scholars interested in how technology has and continues to change the way in which development is defined and achieved, particularly in emerging markets.