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Data Governance in AI, FinTech and LegalTech by Lee, Joseph,Darbellay, Aline Pdf
A comprehensive overview of the governance of urban infrastructures, this Companion combines illustrative cases with conceptual approaches to offer an innovative perspective on the governance of large urban infrastructure systems. Chapters examine the challenges facing urban infrastructure systems, including financial, economic, technological, social, ecological, jurisdictional and demand.
The LegalTech Book by Sophia Adams Bhatti,Akber Datoo,Drago Indjic Pdf
Written by prominent thought leaders in the global fintech and legal space, The LegalTech Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · The current status of LegalTech, why now is the time for it to boom, the drivers behind it, and how it relates to FinTech, RegTech, InsurTech, WealthTech and PayTech · Applications of AI, machine learning and deep learning in the practice of law; e-discovery and due diligence; AI as a legal predictor · LegalTech making the law accessible to all; online courts, online dispute resolution · The Uberization of the law; hiring and firing through apps · Lawbots; social media meets legal advice · To what extent does LegalTech make lawyers redundant or more efficient? · Cryptocurrencies, distributed ledger technology and the law · The Internet of Things, data privacy, automated contracts · Cybersecurity and data · Technology vs. the law; driverless cars and liability, legal rights of robots, ownership rights over works created by technology · Legislators as innovators · Practical LegalTech solutions helping Legal departments in corporations and legal firms alike to get better legal work done at lower cost
Fintech with Artificial Intelligence, Big Data, and Blockchain by Paul Moon Sub Choi,Seth H. Huang Pdf
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
Green Bonds and Sustainable Finance by Muhammad Saeed Meo,Marcin W. Staniewski Pdf
This book introduces green bonds and their significance in portfolio management and sustainable finance. It emphasizes the significance of green bonds in terms of two primary factors: environmental sustainability and investor return. The book establishes the definitions, features, and typology of green bonds, and explains the characteristics that separate it from traditional ones. It delves into the benefits and challenges of investing in these financial instruments, and outlines the process by which green bonds are certified, focusing on the widely accepted Climate Bonds Standard. It also covers transparency, reporting, and monitoring measurements of green bonds. In its second section, the book focuses on investor and policy perspectives. The authors discuss asset allocation strategies for investors as well as various methods for integrating ESG issues into investment portfolio design. New estimating methodologies and case studies of successful green bond investments are also provided. Pitched at graduate students and researchers in finance, accounting, as well as related fields of energy and environmental economics, this book will also interest practitioners and investors looking to understand this emerging area in finance.
Applications And Trends In Fintech I: Governance, Ai, And Blockchain Design Thinking by David Kuo Chuen Lee,Joseph Lim,Kok Fai Phoon,Yu Wang Pdf
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
Data Governance in AI, FinTech and LegalTech by Joseph Lee,Aline Darbellay Pdf
Advocating for more standardised data governance practices and promoting the digital economy, Data Governance in AI, FinTech and LegalTech investigates the rationale, legal base and tools of data governance in the financial sector. This timely book makes a significant contribution to the debate around how rapidly-evolving digital finance practices should be regulated. Contributions from leading researchers examine a range of financial services, offering a comprehensive assessment of the available tools for constructing multi-layered matrix systems for data governance in the financial services sector. Chapters explore data governance in the cryptocurrency market, crypto-asset providers, legal services for mergers and acquisitions, consumer insurance, consumer finance, digital platform services, securities exchanges and the green bond market. The book serves to define the legal contours of data governance, taking account of the influence of shifting business models, the views of multiple stakeholders and emerging issues surrounding data protection, privacy and cybersecurity. This is a crucial read for scholars of law and finance who are researching data regulation, data governance and financial market law. Exploring both the opportunities and risks arising from the digital transformation of financial markets, it will also be invaluable for practitioners and policy makers working in the financial sector, law, risk management and compliance.
The AI Book by Ivana Bartoletti,Anne Leslie,Shân M. Millie Pdf
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
The LegalTech Book by Sophia Adams Bhatti,Akber Datoo,Drago Indjic Pdf
"Written by prominent thought leaders in the global FinTech investment space, The LegalTech Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: The current status of LegalTech, why now is the time for it to boom, the drivers behind it, and how it relates to FinTech, RegTech, InsurTech and WealthTech Applications of AI, machine learning and deep learning in the practice of law; e-discovery and due diligence; AI as a legal predictor LegalTech making the law accessible to all; online courts, online dispute resolution The Uberization of the law; hiring and firing through apps Lawbots; social media meets legal advice To what extent does LegalTech make lawyers redundant? Cryptocurrencies, distributed ledger technology and the law The Internet of Things, data privacy, automated contracts Cybersecurity and data Technology vs. the law; driverless cars and liability, legal rights of robots, ownership rights over works created by technology Legislators as innovators"--
Investment Analytics In The Dawn Of Artificial Intelligence by Bernard Lee Pdf
A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps.Our short title 'ia≠ai' symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today.Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.Related Link(s)
Digital Finance in Europe: Law, Regulation, and Governance by Emilios Avgouleas,Heikki Marjosola Pdf
Global finance is in the middle of a radical transformation fueled by innovative financial technologies. The coronavirus pandemic has accelerated the digitization of retail financial services in Europe. Institutional interest and digital asset markets are also growing blurring the boundaries between the token economy and traditional finance. Blockchain, AI, quantum computing and decentralised finance (DeFI) are setting the stage for a global battle of business models and philosophies. The post-Brexit EU cannot afford to ignore the promise of digital finance. But the Union is struggling to keep pace with global innovation hubs, particularly when it comes to experimenting with new digital forms of capital raising. Calibrating the EU digital finance strategy is a balancing act that requires a deep understanding of the factors driving the transformation, be they legal, cultural, political or economic, as well as their many implications. The same FinTech inventions that use AI, machine learning and big data to facilitate access to credit may also establish invisible barriers that further social, racial and religious exclusion. The way digital finance actors source, use, and record information presents countless consumer protection concerns. The EU’s strategic response has been years in the making and, finally, in September 2020 the Commission released a Digital Finance Package. This special issue collects contributions from leading scholars who scrutinize the challenges digital finance presents for the EU internal market and financial market regulation from multiple public policy perspectives. Author contributions adopt a critical yet constructive and solutions-oriented approach. They aim to provide policy-relevant research and ideas shedding light on the complexities of the digital finance promise. They also offer solid proposals for reform of EU financial services law.
AI, Data and Private Law by Gary Kok Yew Chan,Man Yip Pdf
"This book examines the interconnections between artificial intelligence, data governance and private law rules with a comparative focus on selected jurisdictions in the Asia-Pacific region. The chapters discuss the myriad challenges of translating and adapting theory, doctrines and concepts to practice in the Asia-Pacific region given their differing circumstances, challenges and national interests. The contributors are legal experts from the UK, Israel, Korea, and Singapore with extensive academic and practical experience. The essays in this collection cover a wide range of topics, including data protection and governance, data trusts, information fiduciaries, medical AI, the regulation of autonomous vehicles, the use of blockchain technology in land administration, the regulation of digital assets and contract formation issues arising from AI applications. The book will be of interest to members of the judiciary, policy makers and academics who specialise in AI, data governance and/or private law or who work at the intersection of these three areas, as well as legal technologists and practising lawyers in the Asia-Pacific, the UK and the US"--
This fully revised and updated third edition provides a practical examination of legal and regulatory issues in FinTech, a sector whose rapid rise in recent years has produced opportunities for innovation but has also raised new challenges. Featuring insights from over 40 experts from 10 countries, this book analyses the statutory aspects of technology-enabled developments in banking and considers the impact these changes will have on the legal profession.
This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem.
Author : Ross P. Buckley,Douglas W. Arner,Dirk A. Zetzsche Publisher : Cambridge University Press Page : 351 pages File Size : 46,8 Mb Release : 2023-11-23 Category : Law ISBN : 9781009085915
FinTech by Ross P. Buckley,Douglas W. Arner,Dirk A. Zetzsche Pdf
In this comprehensive, accessible work, Ross P. Buckley, Douglas W. Arner, and Dirk A. Zetzsche offer an ideal reference for anyone seeking to understand the technological transformation of finance and the role of regulation: the world of FinTech. They consider FinTech technologies including artificial intelligence, blockchain, BigData, cloud computing, cryptocurrencies, central bank digital currencies, and distributed ledger technology, and provide a unique perspective on FinTech as an interactive system involving finance, technology, law, and regulation. Starting with an evolutionary perspective, the authors then consider the major technologies transforming finance, arguing for approaches to balance the risks and challenges of innovation. They address the central role of infrastructure in digital financial transformation, highlighting lessons from China, India, and the EU, as well as the impact of pandemics and other sustainability crises, while considering the risks generated by FinTech. They conclude by offering forward-looking regulatory strategies to address the challenges facing our world today.