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

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
Total Pages: 35
Release: 2021-10-22
Genre: Business & Economics
ISBN: 1589063953

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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.


Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs

Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs
Author: Ana Paula Cabral Seixas Costa
Publisher: Springer Nature
Total Pages: 214
Release: 2022-05-12
Genre: Computers
ISBN: 3031065301

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This book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches.


The New Era of Real Estate

The New Era of Real Estate
Author: Gianluca Mattarocci
Publisher: Springer Nature
Total Pages: 147
Release: 2022-10-22
Genre: Business & Economics
ISBN: 3031167317

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This book is intended to guide researchers interested in the world of innovation in real estate finance linked to technology and provide new evidence on classifying and evaluating the performance of PropTech companies. Chapters will deal with the evolution of PropTech, possible business models, negotiation and property management tools, new property financing tools (p2p lending and crowdfunding), the market and the balance sheet analysis of PropTech companies in Europe. A valuable resource for researchers studying the real estate industry, this book is also relevant to those studying FinTech and the impact of technology on industry more broadly. It can also be of use to professionals in the real estate industry, looking for a cutting edge research-based study on PropTech.


Artificial Intelligence in Practice

Artificial Intelligence in Practice
Author: Bernard Marr
Publisher: John Wiley & Sons
Total Pages: 232
Release: 2019-04-15
Genre: Business & Economics
ISBN: 1119548985

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.


Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
Author: Panos M. Pardalos
Publisher: Springer Nature
Total Pages: 239
Release: 2022-01-09
Genre: Mathematics
ISBN: 3030844595

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This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.


Real Estate Valuation

Real Estate Valuation
Author: G. Jason Goddard
Publisher: Routledge
Total Pages: 264
Release: 2021-12-15
Genre: Business & Economics
ISBN: 1000508641

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Real Estate Valuation: A Subjective Approach highlights the subjective valuation components of residential and commercial real estate, which can lead to a range of acceptable property value conclusions. It discusses the causes of housing booms and goes in depth into the heterogeneity of commercial real estate property valuation via examples from owner-occupied, multifamily residential, hotel, office, retail, warehouse, condo conversion, and mortgage-backed security areas of real estate. Other topics explored include the role of machine learning and AI in real estate valuation, market participant value perceptions, and the challenge of time in the valuation process. The primary theoretical basis for the range of acceptable values and the subjectivity of property valuation focuses on the work of G.L.S. Shackle from the Austrian School of Economics. This illuminating textbook is suitable for undergraduate and master’s students of real estate finance, and will also be useful for practitioners in residential and commercial real estate.


The AI Book

The AI Book
Author: Ivana Bartoletti
Publisher: John Wiley & Sons
Total Pages: 304
Release: 2020-06-29
Genre: Business & Economics
ISBN: 1119551900

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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


Big Data – BigData 2022

Big Data – BigData 2022
Author: Bo Hu
Publisher: Springer Nature
Total Pages: 101
Release: 2022-12-09
Genre: Computers
ISBN: 3031235010

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This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.


Artificial Intelligence in Clinical Practice

Artificial Intelligence in Clinical Practice
Author: Chayakrit Krittanawong
Publisher: Elsevier
Total Pages: 550
Release: 2023-09-29
Genre: Computers
ISBN: 0443156891

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Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI