The Big Data Driven Digital Economy Artificial And Computational Intelligence

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The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3030730573
Total Pages : 472 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Big Data-Driven Digital Economy: Artificial and Computational Intelligence by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book The Big Data-Driven Digital Economy: Artificial and Computational Intelligence written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2021-05-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.

Digital Economy, Business Analytics, and Big Data Analytics Applications

Author : Saad G. Yaseen
Publisher : Springer
ISBN 13 : 9783031052606
Total Pages : 0 pages
Book Rating : 4.0/5 (526 download)

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Book Synopsis Digital Economy, Business Analytics, and Big Data Analytics Applications by : Saad G. Yaseen

Download or read book Digital Economy, Business Analytics, and Big Data Analytics Applications written by Saad G. Yaseen and published by Springer. This book was released on 2023-09-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Data-Driven Business Models for the Digital Economy

Author : Rado Kotorov
Publisher : Business Expert Press
ISBN 13 : 195152781X
Total Pages : 161 pages
Book Rating : 4.9/5 (515 download)

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Book Synopsis Data-Driven Business Models for the Digital Economy by : Rado Kotorov

Download or read book Data-Driven Business Models for the Digital Economy written by Rado Kotorov and published by Business Expert Press. This book was released on 2020-04-21 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.

The Economics of Data, Analytics, and Digital Transformation

Author : Bill Schmarzo
Publisher : Packt Publishing Ltd
ISBN 13 : 1800569130
Total Pages : 261 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis The Economics of Data, Analytics, and Digital Transformation by : Bill Schmarzo

Download or read book The Economics of Data, Analytics, and Digital Transformation written by Bill Schmarzo and published by Packt Publishing Ltd. This book was released on 2020-11-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

Artificial Intelligence, Data And Blockchain In A Digital Economy, First Edition

Author : Infocomm Media Development Authority
Publisher : World Scientific
ISBN 13 : 9811218978
Total Pages : 215 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Artificial Intelligence, Data And Blockchain In A Digital Economy, First Edition by : Infocomm Media Development Authority

Download or read book Artificial Intelligence, Data And Blockchain In A Digital Economy, First Edition written by Infocomm Media Development Authority and published by World Scientific. This book was released on 2020-06-22 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital transformation continues to create new growth opportunities for businesses and improve the lives of citizens. To help businesses seize these opportunities, the Infocomm Media Development Authority (IMDA) launched the Digital Economy Framework for Action in 2018. This living document aims to enhance Singapore's digital competitiveness and become a global node in Asia.As part of Singapore's push for a Digital Economy, IMDA and the Singapore University of Social Sciences have collaborated to jointly publish the Artificial Intelligence, Data and Blockchain in a Digital Economy, First Edition. This book explains how frontier technologies such as blockchain and artificial intelligence can empower Singapore's digital transformation. It also highlights and provides insights on transformative services and how frontier technology can impact the nation's digitalisation journey.

Data Science and Big Data: An Environment of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319534742
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Science and Big Data: An Environment of Computational Intelligence by : Witold Pedrycz

Download or read book Data Science and Big Data: An Environment of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2017-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Applications of Computational Intelligence in Data-Driven Trading

Author : Cris Doloc
Publisher : John Wiley & Sons
ISBN 13 : 1119550505
Total Pages : 304 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Applications of Computational Intelligence in Data-Driven Trading by : Cris Doloc

Download or read book Applications of Computational Intelligence in Data-Driven Trading written by Cris Doloc and published by John Wiley & Sons. This book was released on 2019-10-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.

Artificial Intelligence, Internet of Things, and Society 5.0

Author : Azzam Hannoon
Publisher : Springer Nature
ISBN 13 : 3031433009
Total Pages : 590 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence, Internet of Things, and Society 5.0 by : Azzam Hannoon

Download or read book Artificial Intelligence, Internet of Things, and Society 5.0 written by Azzam Hannoon and published by Springer Nature. This book was released on 2023-11-08 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book unlike any other previous book provides a platform for scholars and researchers to present the latest insights and findings on the application of artificial intelligence and other sustainable technologies for a human-centric society. It brings together technology with society with special attention given to AI and IoT-related intricacies for a digital economy. It covers a variety of research topics including block ciphers, network marketing for sustainability entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. The book is a comprehensive reference work for scholars, academics, policymakers, students, and professionals presenting an overall understanding of AI, its present and future trends, and presents a discourse on important policies and strategies on inclusivity, diversity, bias, accountability, security, metaverse applications of AI, and other technologies such as IoT.

Artificial Intelligence for Sustainable Finance and Sustainable Technology

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3030934640
Total Pages : 637 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence for Sustainable Finance and Sustainable Technology by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence for Sustainable Finance and Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2022-01-01 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.

Cutting-Edge Business Technologies in the Big Data Era

Author : Saad G. Yaseen
Publisher : Springer Nature
ISBN 13 : 3031424557
Total Pages : 438 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Cutting-Edge Business Technologies in the Big Data Era by : Saad G. Yaseen

Download or read book Cutting-Edge Business Technologies in the Big Data Era written by Saad G. Yaseen and published by Springer Nature. This book was released on with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Paradigms

Author : George A. Tsihrintzis
Publisher : Springer
ISBN 13 : 3319940309
Total Pages : 370 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Machine Learning Paradigms by : George A. Tsihrintzis

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer. This book was released on 2018-07-03 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities. The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences. Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics. This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.

Artificial Intelligence-Augmented Digital Twins

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3031434900
Total Pages : 673 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence-Augmented Digital Twins by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book Artificial Intelligence-Augmented Digital Twins written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2024-01-19 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin. The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures. Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success. Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.

Artificial Intelligence Systems and the Internet of Things in the Digital Era

Author : Abdalmuttaleb M.A Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3030772462
Total Pages : 536 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence Systems and the Internet of Things in the Digital Era by : Abdalmuttaleb M.A Musleh Al-Sartawi

Download or read book Artificial Intelligence Systems and the Internet of Things in the Digital Era written by Abdalmuttaleb M.A Musleh Al-Sartawi and published by Springer Nature. This book was released on 2021-05-28 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together intelligence systems and the Internet of Things, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI and IoT to develop future strategies and to achieve sustainability goals. EAMMIS 2021 was organized by the Bridges Foundation in cooperation with the Istanbul Medeniyet University, Istanbul, Turkey, on March 19–20, 2021. EAMMIS 2021 theme was Artificial Intelligence Systems and the Internet of Things in the digital era. The papers presented at the conference provide a holistic view of AI education, MIS, cybersecurity, blockchain, Internet of Ideas (IoI), and knowledge management.

Engineering Applications of Artificial Intelligence

Author : Aziza Chakir
Publisher : Springer Nature
ISBN 13 : 3031503007
Total Pages : 443 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Engineering Applications of Artificial Intelligence by : Aziza Chakir

Download or read book Engineering Applications of Artificial Intelligence written by Aziza Chakir and published by Springer Nature. This book was released on with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Novel Financial Applications of Machine Learning and Deep Learning

Author : Mohammad Zoynul Abedin
Publisher : Springer Nature
ISBN 13 : 3031185528
Total Pages : 235 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Novel Financial Applications of Machine Learning and Deep Learning by : Mohammad Zoynul Abedin

Download or read book Novel Financial Applications of Machine Learning and Deep Learning written by Mohammad Zoynul Abedin and published by Springer Nature. This book was released on 2023-03-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study. The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence

Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
Publisher : Springer Nature
ISBN 13 : 3031177460
Total Pages : 727 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence by : Abdalmuttaleb M. A. Musleh Al-Sartawi

Download or read book From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2022-11-18 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows latest research on the role Artificial inelegance in enabling IoT to evoke IoI, and how IoI flourish inside technologies like social media platforms, social networks: communities of practice/interest, to assure a globally sustainable unit where humans integrate with machines to collaboratively share ideas and solve complex problems. Such a book holds several benefits. It will reveal theoretical practical, and managerial implications through discussions that will embrace a wide array of technologies focused on the role of AI enabled IoT to evoke IoI. EAMMIS 2022 was organized by the Bridges Foundation in cooperation with Coventry University, UK on the 10th and 11th of June 2022. EAMMIS 2022 theme was From the Internet of Things to the Internet of Ideas: The role of Artificial Intelligence. The papers presented at the conference provide a holistic view of AI and its applications, IOT and the IOI which will help societies to better use and benefit from AI, IOT and IOI to develop future strategies and actions.

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

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.