In the last couple of years, the finance and banking sectors have increasingly deployed and implemented Artificial Intelligence (AI) technologies. AI and machine learning are being rapidly adopted for a range of applications for front-end and back end processes to both business and financial management operations. Thus, it is quite significant to consider the financial stability repercussions of such uses. Since AI is relatively new, the data on the usage is largely unavailable, any analysis may be necessarily considered Preliminary1 . Some of the current and potential use cases of AI and machine learning in the finance sector include the following. Institutions use AI and machine learning methods to optimize scarce capital, back-test models, and analyze the market impact of trading large positions. Financial institutions and vendors use AI and machine learning techniques to evaluate credit quality for market and price insurance contracts, and to automate client interaction. Brokers, hedge funds, and other firms are using AI and machine learning to find pointers for higher (and uncorrelated) returns to optimize trading execution. Private and public sector institutions use these technologies for data quality assessment, surveillance, regulatory compliance, and fraud detection. This book seeks to map the use of AI in current state of affairs in the banking and financial sector. By doing so, it explores: The present uses of AI in banking and finance and its narrative across the globe.
An industry-specific guide to the applications of Advanced Analytics and AI to the banking industry Artificial Intelligence (AI) technologies help organisations to get smarter and more effective over time – ultimately responding to, learning from and interacting with human voices. It is predicted that by 2020, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development. Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book: Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance Offers advice on the most effective ways to integrate AI into existing bank ecosystems Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and ‘debranding’ Explains the concept of ‘Open Banking,’ which securely shares information without needing to reveal passwords Addresses the development of leadership relative to AI adoption in the banking industry AI and the Future of Banking is an informative and up-to-date resource for bank executives and managers, new entrants to the banking industry, financial technology and financial services practitioners and students in postgraduate finance and banking courses.
A practical guide to building intelligent financial applications using machine learning techniques
Author: Jeffrey Ng
Publisher: Packt Publishing Ltd
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key Features Understand how to obtain financial data via Quandl or internal systems Automate commercial banking using artificial intelligence and Python programs Implement various artificial intelligence models to make personal banking easy Book Description Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI. What you will learn Automate commercial bank pricing with reinforcement learning Perform technical analysis using convolutional layers in Keras Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases Deploy a robot advisor to manage your personal finances via Open Bank API Sense market needs using sentiment analysis for algorithmic marketing Explore AI adoption in banking using practical examples Understand how to obtain financial data from commercial, open, and internal sources Who this book is for This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
This extraordinary book, written by leading players in a burgeoning technology revolution, is about the merger of finance and technology (fintech), and covers its various aspects and how they impact each discipline within the financial services industry. It is an honest and direct analysis of where each segment of financial services will stand. Fintech: The New DNA of Financial Services provides an in-depth introduction to understanding the various areas of fintech and terminology such as AI, big data, robo-advisory, blockchain, cryptocurrency, InsurTech, cloud computing, crowdfunding and many more. Contributions from fintech innovators discuss banking, insurance and investment management applications, as well as the legal and human resource implications of fintech in the future.
Implications and Applications for Finance and Accounting Professionals
Author: Sean Stein Smith
Publisher: Springer Nature
Category: Business & Economics
Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples.
With advancing technologies like distributed ledgers, smart contracts, and digital payment platforms, financial services must be innovative in order to remain relevant in the modern era. The adoption of financial technology affects the whole Islamic financial industry as well as the economic stability of a globalized world. There is a need for research that seeks to understand financial technology and the regulatory technology necessary to ensure financial security and stability. Impact of Financial Technology (FinTech) on Islamic Finance and Financial Stability is an essential publication that examines both the theory and application of newly-available financial services and discusses the impact of FinTech on the Islamic financial service industry. Featuring research on topics such as cryptocurrency, peer-to-peer transferring, and digital wallets, this book is ideally designed for researchers, bank managers, economists, analysts, market professionals, managers, executives, computer scientists, business practitioners, academicians, and students seeking coverage on how the latest in artificial intelligence, machine learning, and blockchain technology will redesign Islamic finance.
Transform Yourself in the New Era of Financial Services
Author: Mark Swain
Publisher: Intech Commerce
Are you capturing your fair share of the US$2 trillion global commercial banking market? Are you prepared for the new era of financial services? Are you ready to transform and grow, or will you retreat and decline? Banking 2020 shares a global view of the commercial banking industry, including analysis of major revenue pools, key country market analysis and profiles of major participants. It also explores the key challenges facing the industry, from cyber-risk to digital transformation, regulation to job losses, and much more. It uncovers strategies to grow and transform in the new world of financial services, where the customer is making the rules and expectations are for a more customer-focused sales experience. And it looks towards the future of staffless branches, learning and development for future bankers, artificial intelligence, robots and open banking. This book is a must-read for all financial sector employees and people doing business with the industry as it evolves. It will enable you to: - Discover the competitive strategies of banks in all corners of the world. - Understand industry challenges and new insights to help you grow and transform. - Get future ready for Banking 2020 and beyond.
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: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. 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.
Seminar paper from the year 2020 in the subject Business economics - Investment and Finance, grade: 1,3, Pforzheim University, language: English, abstract: In this paper we answer the question: In the world of FinTech and AI, do we need still hedge funds? We describe and analyze how these three subjects are connected and how they are changing the financial services ecosystem. Are fintech companies and AI enemies from hedge funds? Do these industries complement each other? We hope this information is insightful and enjoy reading. Today, customers want the best products and services combined with the best user experience and last but not least, they want options. In other words, they want it all and they want it now, and for the financial services industry it may be the biggest challenge in history. New generations of customers with unlimited access to information are now informed about the new technologies, tools, and products in a matter of minutes, and they want to be a part of it. A new breed of financial institutions called “Fintech” with a more technology-driven infrastructure are fulfilling the customers wants and needs, by taking advantage from new regulations created after the financial crisis of 2008, that made old traditional financial institutions expensive to operate and slower to innovate, gave these innovative, sometimes borderless fintech companies a competitive advantage. Thanks to data and artificial intelligence (AI), customers have access to tailor-made financial products and services not only in banking but also in areas like investing, financial planning and advisory, in an inexpensive but efficient way, something that before was mostly available only for the rich and well-connected people. This made the financial industry in a way fairer and more transparent. But there are some financial entities like “hedge funds” that are still reserved only for the wealthy investors. These entities are famous due their unconventional ways to make money in the markets and bringing investors outstanding returns, beating the market.
Artificial Intelligence, the Revolutionary Transformation that no one can escape DESCRIPTION The book ‘Artificial Intelligence for All’ is a snapshot of AI applications in different industries, society, and everyday life. The book is written considering possibilities AI can bring in the Indian context and considering Indian industries and economy at the center stage. The book starts with describing the race for the supremacy of different countries in the field of Artificial Intelligence that has already taken a great momentum and how AI has managed to influence even mainstream politics and the world leaders. In the subsequent chapters, the book brings in AI applications primarily in the Banking and Finance sectors like Financial Crime detection using AI, Credit Risk Assessment, AI-powered conversational banking, Predictive Analytics, and recommendations in Banking and Finance. In few of the chapters, it goes deep into Machine Learning, Deep Learning, Neural Network and analogy with the human brain for readers who wants to go deeper into the subject, at the same time the content and explanations remain very simple for non-technical readers. How AI is powering the self-driving autonomous vehicles and its implication in the society, job, and the world economy, and it’s transforming the world of home automation, will be another area of interest in the book. A full chapter is dedicated for CIOs and CTOs to consider AI top in their priority list. Applications of AI in Sports are going to be interesting for sports lovers as well as professionals working in the Sports and Computer Games domain. The book also gives special emphasis on Conversational AI like Virtual Assistances and ChatBots and their utility in different sectors. A chapter dedicated for healthcare and medicine provides a complete overview of AI applications in the field and how it’s transforming clinical imaging, personalized medicines, drug discovery, and predictions and forecasting health-related events and many more. Cognitive Cyber Security using AI and Machine Learning would be an area of interest for the readers in the field of Cyber Security. The chapter talks about various modern cognitive cybersecurity tools and techniques to fight with the ever-evolving cybercrime space. ‘Journey of a Digital Traveler’ describes how AI is transforming the travel and tourism industry. The book also includes top 100 business use cases which illustrate possible applications in various fields. KEY FEATURES Provides perfect ‘playground’ for enterprises and institutions globally to develop Artificial Intelligence solutions The world has achieved an enormous amount of technological advancement and skyrocketing progress in mass Digitization, Data Science, and FinTech The gist of the golden era of AI and FinTech AI-powered autonomous vehicles are undoubtedly the future. Autonomous vehicles are the dawn of a whole new lifestyle Using Artificial Intelligence to redefine their products, processes and strategies Providing banking and financial services to the customers through a variety of digital channels A preliminary guide for enterprises and businesses to revisit their AI strategy WHAT WILL YOU LEARN This book is for both technical and non-technical readers, a cutting edge technology like Artificial Intelligence is simplified for all and a genuine effort has been made to democratize it as much as possible. The book will provide insights into the real applications of AI in different industries like health care and medicine, banking and finance, manufacturing, retail, sports, and many more, including how it’s transforming our life which probably many of us are not even aware of. And most importantly how a country like India can be benefited by embracing this groundbreaking technology and the huge opportunities and economic impact that AI can bring. Also, you will get to know how different countries like USA, CHINA, UK, EUROPE, RUSSIA, including INDIA is already in the race of being AI Superpower; because AI is the future and whoever becomes the leader in AI will become the ruler of the world. WHO THIS BOOK IS FOR This book is useful for AI Professionals, Data Scientists...... The content of the book is for both Technical and Non Technical readers who wants to know the applications of AI in different industries. No prior technical or programming experience is required to understand this book. This book can be used as a hand book for Data Scientist and Business SMEs who are in the process of identifying different use cases of Artificial Intelligence in their respective domains. TABLE OF CONTENTS 1. Super Powers of AI – The Leaders and the Contenders 2. AI – The Core Fabric for NextGen Banking 3. How an AI Framework can be a Game-Changer in Your AI Journey 4. Artificial Neural Networks 5. The Next Wave of Automation will Transform our Living Experience 6. Self-Driving Cars – Socio Economic Impact of Autonomous Vehicles 7. How Artificial Intelligence is Transforming the BFSI Sector 43 8. AI Now is a Race Among Startups and Tech Giants 9. AI in the top of priorities for CIOs and CTOs 10. AI in Sports 11. How a Country can be Transformed Using Artificial Intelligence 12. Don’t Underestimate the Power of an AI Chatbot 13. Industry Adoption of Cognitive and Artificial Intelligence 14. Artificial Intelligence – The Biggest Disruptor in the BFSI Industry 15. AI in Healthcare 16. AI in Cyber Security – Cognitive Cyber Defense 17. Be Aware of Cyber Threat 18. AI Revolution in India – National Strategy for AI 19. AI in Tour and Travels – Journey of a Digital Traveler 20. Top 100 Business Use Cases of Artificial Intelligence 21. T Impact of Modern Automation on Employment
FinTech is encouraging various new practices, such as diminishing the use of cash in different countries, increasing rate of mobile payments, and introducing new algorithms for high-frequency trading across national boundaries. It is paving the way for new technologies emerging in the information technology scene that allow financial service firms to automate existing business processes and offer new products, including crowdfunding or peer-to-peer insurance. These new products cater to hybrid client interaction and customer self-services, changing the ecosystem by increasing outsourcing for focused specialization by resizing and leading to new ecosystems and new regulations for encouraging FinTech. However, such new ecosystems are also accompanied by new challenges. Innovative Strategies for Implementing FinTech in Banking provides emerging research exploring the theoretical and practical aspects of technology inclusion in the financial sector and applications within global financing. It provides a clear direction for the effective implementation of FinTech initiatives/programs for improving banking financial processes, financial organizational learning, and performance excellence. Featuring coverage on a broad range of topics such as artificial intelligence, social financing, and customer satisfaction, this book encourages the management of the financial industry to take a proactive attitude toward FinTech, resulting in a better decision-making capability that will support financial organizations in their journey towards becoming FinTech-based organizations. As such, this book is ideally designed for financial analysts, finance managers, finance administrators, banking professionals, IT consultants, researchers, academics, students, and practitio
The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries
Author: Ivana Bartoletti
Publisher: John Wiley & Sons
Category: Business & Economics
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.
Three major areas are examined: teamwork required to implement AI technologies, strategies for developing computer resources using AI, and tactics for overseeing implementation and day-to-day operation. Annotation copyrighted by Book News, Inc., Portland, OR
The financial services technology industry is booming and promises to change the way we manage our money online, disrupting the current landscape of the industry. Understanding fintech’s many facets is the key to navigating the complex nuances of this global industry. Fintech in a Flash is a comprehensive guide to the future of banking and insurance. It discusses an array of hot topics such as online payments, crowdfunding, challenger banks, online insurance, digital lending, big data, and digital commerce. The author provides easy to understand explanations of the 14 main areas of fintech and their future, and insight into the main fintech hubs in the world and the so-called unicorns, fintech firms that have made it past a $1 billion valuation. He breaks down the key concepts of fFintech in a way that will help you understand every aspect so that you can take advantage of new technologies. This detailed guide is your go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry.
This book delves into the many innovative changes that the financial industry has undergone in recent years. The authors investigate these developments in a holistic manner and from a wide range of perspectives: both public and private, business and consumer, regulators and supervisors. Initially, they set the framework of their analysis by discussing innovation cycles in financial services. Thereafter, they tackle the issue of financial innovations and their consequences for financial stability. They then review the new approaches to financial consumers’ protection, which emerged in the aftermath of the global financial crisis. The authors underline the fact that this new approach is heavily influenced by the recent innovative drive in the financial industry. Next, they switch their attention to the public sector, examining the innovative processes in monetary policy and central banks, structural innovations in the supervisory models and systems, and they assess some specific supervisory challenges regarding blockchain and the application of mathematics in the supervisory capacity. Additionally, the book examines a range of issues related to the private sector, such as recent developments regarding risk transferring mechanisms on the financial market, artificial intelligence and natural language processing for regulatory filings, the development of process management in insurance companies and other innovative products on the market. Finally, Innovation in Financial Services discusses how the digital transformation of the financial system impacts the interaction between the public and private sectors. The book is intended for graduate and postgraduate level students, researchers, public sector officers, as well as financial sector practitioners.
The Impact of FinTech, AI, and Crypto on Financial Services
Author: Henri Arslanian
Category: Business & Economics
This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.
The calculus of IT support for the banking, securities and insurance industries has changed dramatically and rapidly over the past few years. Unheard of just a few years ago, corporate intranets are now used for everything from job postings to enhanced team communications. Whole new departments are being created to support e-commerce. And the Internet/Intranet/Extranet triple-whammy is the most critical component of most financial IT shops. At the same time, new intelligent agents stand ready to take on such diverse functions as customer profiling and data mining. Get a handle on all these new and newer ripples with Handbook of Technology in Financial Services. Here, in this exhaustive new guide and reference book, industry guru Jessica Keyes gives you the no-nonsense scoop on not just the tried and true IT tools of today, but also the up-and-coming "hot" technologies of tomorrow, and how to plan for them. Keyes gives you extensive, example-driven explanations of such topics as: digital check imaging and Internet-based billing e-commerce and Internet banking portfolio management systems for the 21st century GIS technology in financial services and much more. Focusing on problems from both a technology perspective and a business perspective, the Handbook also addresses challenges and solutions associated with: supporting the self-service revolution by servicing kiosks and ATMs efficiently and economically straight-through processing for the securities industry outsourcing business communications in the insurance industry distributed integration as a cost-effective alternative to data warehousing and putting inbound fax automation to work in financial organizations. Packed with real-world case-studies and practical solutions to problems confronting financial services IT managers every day of the week, Handbook of Technology in Financial Services covers everything from system security to IT support for the Web marketing of financial services. In short, it is a compendium of essential information no professional can afford to be without.
Few industries have more to gain and more to lose from the digital revolution than financial services. In this authoritative survey the latest developments are reviewed and explained in clear, jargon-free terms and future trends are predicted. Is there a future for the traditional bank, or will other companies sweep away their business? Home banking is discussed as is the use of kiosks, banking and trading on the Internet, and electronic cash. What will the impact be on employment? How will the digital revolution affect insurance, share trading and risk assessment? Security, artificial intelligence and globalization are just some of the other fascinating and important issues that are featured in this enjoyable ride down the financial services information superhighway. An indispensable reference for anyone working at any level in the financial services industry.