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Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367700581 ISBN 13: 9780367700584
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment. This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: LAP Lambert Academic Publishing, 2012
ISBN 10: 3848447398 ISBN 13: 9783848447398
Sprache: Englisch
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Taschenbuch. Zustand: Neu. Warning systems of enterprises against the risk of bankruptcy | Artificial intelligence in financial management | Tomasz Korol | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848447398 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: Wiley-Scrivener (edition 1), 2024
ISBN 10: 1394174713 ISBN 13: 9781394174713
Sprache: Englisch
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Verlag: John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394174713 ISBN 13: 9781394174713
Sprache: Englisch
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Hardcover. Zustand: new. Hardcover. Artificial Intelligence for Risk Mitigation in the Financial Industry This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to transform inputs into output. As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Audience This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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