Hands On Artificial Intelligence For Banking
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Hands On Artificial Intelligence For Banking
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Author : Jeffrey Ng
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-10
Hands On Artificial Intelligence For Banking written by Jeffrey Ng and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Computers categories.
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key FeaturesUnderstand how to obtain financial data via Quandl or internal systemsAutomate commercial banking using artificial intelligence and Python programsImplement various artificial intelligence models to make personal banking easyBook 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 learnAutomate commercial bank pricing with reinforcement learningPerform technical analysis using convolutional layers in KerasUse natural language processing (NLP) for predicting market responses and visualizing them using graph databasesDeploy a robot advisor to manage your personal finances via Open Bank APISense market needs using sentiment analysis for algorithmic marketingExplore AI adoption in banking using practical examplesUnderstand how to obtain financial data from commercial, open, and internal sourcesWho 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.
Applications Of Block Chain Technology And Artificial Intelligence
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Author : Mohammad Irfan
language : en
Publisher: Springer Nature
Release Date : 2024-05-27
Applications Of Block Chain Technology And Artificial Intelligence written by Mohammad Irfan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Business & Economics categories.
Today, emerging technologies offer a new pathway for advancing the economy in the fields of banking, finance, and capital markets. Blockchain applications play a crucial role in ensuring trust and security within these industries by relying on transparency and visibility through peer-to-peer networks. The banking industry has also witnessed increased operations speed, better transparency, efficiency enhancement, fraud extenuation at less cost while sharing real-time data between various parties. Thus, the adoption of blockchain in the Banking and Insurance industry is developing very fast. It has emerged as the commonly accepted default platform for the banking and insurance industry. This book explores how blockchain technology optimizes and integrates transactions and operations, facilitating easier access to information. This, in turn, has the potential to reduce communication costs and minimize minor data transfer errors. Additionally, the book delves into the current applications of blockchain technology in the financial industry, discusses its limitations, and outlines its future prospects for broader accessibility. This book is aimed at students and researchers in financial engineering and fintech and it can serve as a reference for identifying problem areas and their possible solutions.
Transforming Banking Infrastructure Services With Artificial Intelligence Machine Learning And Agentic Ai Modernizing Financial Systems In The Age Of Automation
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Author : Bharath Somu
language : en
Publisher: Global Pen Press UK PUBLICATION
Release Date :
Transforming Banking Infrastructure Services With Artificial Intelligence Machine Learning And Agentic Ai Modernizing Financial Systems In The Age Of Automation written by Bharath Somu and has been published by Global Pen Press UK PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
The Digital Hand
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Author : James W. Cortada
language : en
Publisher: Oxford University Press
Release Date : 2005-11-03
The Digital Hand written by James W. Cortada and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-03 with Computers categories.
The Digital Hand, Volume 2, is a historical survey of how computers and telecommunications have been deployed in over a dozen industries in the financial, telecommunications, media and entertainment sectors over the past half century. It is past of a sweeping three-volume description of how management in some forty industries embraced the computer and changed the American economy. Computers have fundamentally changed the nature of work in America. However it is difficult to grasp the full extent of these changes and their implications for the future of business. To begin the long process of understanding the effects of computing in American business, we need to know the history of how computers were first used, by whom and why. In this, the second volume of The Digital Hand, James W. Cortada combines detailed analysis with narrative history to provide a broad overview of computing's and telecomunications' role in over a dozen industries, ranging from Old Economy sectors like finance and publishing to New Economy sectors like digital photography and video games. He also devotes considerable attention to the rapidly changing media and entertainment industries which are now some of the most technologically advanced in the American economy. Beginning in 1950, when commercial applications of digital technology began to appear, Cortada examines the ways different industries adopted new technologies, as well as the ways their innovative applications influenced other industries and the US economy as a whole. He builds on the surveys presented in the first volume of the series, which examined sixteen manufacturing, process, transportation, wholesale and retail industries. In addition to this account, of computers' impact on industries, Cortada also demonstrates how industries themselves influenced the nature of digital technology. Managers, historians and others interested in the history of modern business will appreciate this historical analysis of digital technology's many roles and future possibilities in an wide array of industries. The Digital Hand provides a detailed picture of what the infrastructure of the Information Age really looks like and how we got there.
Artificial Intelligence Applications In Banking And Financial Services
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Author : Abhishek Gupta
language : en
Publisher: Springer Nature
Release Date : 2023-07-19
Artificial Intelligence Applications In Banking And Financial Services written by Abhishek Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Business & Economics categories.
This book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners. The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Proceedings Of 3rd International Conference On Mathematical Modeling And Computational Science
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Author : Sheng-Lung Peng
language : en
Publisher: Springer Nature
Release Date : 2023-08-28
Proceedings Of 3rd International Conference On Mathematical Modeling And Computational Science written by Sheng-Lung Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Technology & Engineering categories.
The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 – 25 February 2023 in hybrid mode. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high performance computing, network and device security, Internet of Things (IoT).
Advanced Machine Learning Algorithms For Complex Financial Applications
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Author : Irfan, Mohammad
language : en
Publisher: IGI Global
Release Date : 2023-01-09
Advanced Machine Learning Algorithms For Complex Financial Applications written by Irfan, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-09 with Business & Economics categories.
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Fundamentals Of Transfer Pricing
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Author : Raffaele Petruzzi
language : en
Publisher: Kluwer Law International B.V.
Release Date : 2022-06-20
Fundamentals Of Transfer Pricing written by Raffaele Petruzzi and has been published by Kluwer Law International B.V. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Law categories.
This is Part Two of a crucially significant two-volume set on the nature of transfer pricing that fully elucidates how the growing body of applicable rules works in practice. The preceding volume, subtitled General Topics and Specific Transactions, focused on basic principles and specialized topics. This volume enlarges the scope of the first volume, particularly concerning industry specifics, regional considerations, the use of new technologies, and the intersection between transfer pricing rules and other disciplines. As in the first volume, stakeholding contributors from government, multinational companies, international organizations, advisory groups, and academia offer deeply informed perspectives, both general and specific, on the practical application of transfer pricing rules. With numerous examples and relevant international judicial precedents, the authors augment the first volume in such ways as the following: extended analysis of particular business sectors, including automotive, banking, consumer goods, insurance, IT, oil and gas, and pharmaceutics; specific jurisdictional coverage of the United States, the European Union, Brazil, China, and India; detailed presentation of the use of new technologies by both taxpayers and tax authorities; and further in-depth analysis of transfer pricing’s interaction with various fields of law. With this authoritative source of practical guidance, advisors, in-house practitioners, government officials, and academics worldwide will have all the details they need to move forward in tackling the complex aspects of the current transfer pricing environment.
Artificial Intelligence Theory Models And Applications
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Author : P Kaliraj
language : en
Publisher: CRC Press
Release Date : 2021-10-21
Artificial Intelligence Theory Models And Applications written by P Kaliraj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Computers categories.
This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.