Artificial Intelligence for Risk Mitigation in the Financial Industry
Mishra, Ambrish Kumar, Anand, Shweta, Debnath, Narayan C.
- 出版商: Wiley-Scrivener
- 出版日期: 2024-07-03
- 售價: $6,660
- 貴賓價: 9.5 折 $6,327
- 語言: 英文
- 頁數: 384
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394174713
- ISBN-13: 9781394174713
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相關分類:
人工智慧
無法訂購
相關主題
商品描述
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.
商品描述(中文翻譯)
人工智慧在金融業風險緩解中的應用
本書廣泛探討了人工智慧在風險緩解過程中的實施，並為審計、銀行和金融領域提供了如何降低風險和增強有效可靠性的資訊。
金融業的應用涉及大量的結構化和非結構化數據，以獲取公司在財務和非財務表現方面的洞察。隨著數據的指數增長，審計師和管理專業人士需要提升處理能力，同時保持風險緩解過程的有效性和可靠性。風險緩解和審計程序是涉及活動進展的過程，旨在「將輸入轉化為輸出」。隨著人工智慧系統的日益普及，難以想像金融業中有哪個風險緩解的方面不需要與人工智慧相關的保證或人工智慧輔助的諮詢服務。人工智慧可以在許多方面作為強大的工具，例如預防詐騙、洗錢和網路犯罪、早期風險和不良資產（NPA）概率的檢測、健全的貸款等。
讀者對象
這是一本介紹性書籍，提供了有關在金融業採用人工智慧進行風險緩解的優勢的見解。該主題不僅限於研究人員、審計師和管理專業人士等個人，還包括政府等決策機構。本書是利用人工智慧進行風險緩解的寶貴指南，將在未來多年內作為重要的獨立參考資料。
作者簡介
Ambrish Kumar Mishra, PhD, is a scholar in the School of Management at Gautam Buddha University in Greater Noida, Uttar Pradesh, India. He obtained his Master's in banking services from Amity University Noida, India in 2014, and has spent six years in the banking industry teaching and as a mutual fund and GST trainer with the BFSI sector skill council in India. He has published research papers and received various awards in his field of research.
Shweta Anand, PhD, is the dean of the School of Management at Gautam Buddha University in Greater Noida, Uttar Pradesh, India. She earned a PhD in Wealth Management and has 30+ years of experience of which 14 years were in industry. She has won several awards and accolades and has published numerous papers in international and national journals and conferences.
Narayan C. Debnath, PhD, is the Founding Dean of the School of Computing and Information Technology at Eastern International University (EIU), Vietnam where he also serves as the Head of the Department of Software Engineering. He has been the Director of the International Society for Computers and their Applications (ISCA), USA since 2014 as well as serving as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years. He is the author or co-author of more than 500 publications in numerous refereed journals and conference proceedings as well as the editor of several books.
Purvi Pokhariyal, PhD, is the Campus Director at the National Forensic Sciences University of the Delhi Campus, India. She has more than 25 years of academic and industry experience in the field of law and justice administration. She has published about 50 papers in national and international journals and conferences.
Archana Patel, PhD, is an assistant professor at the National Forensic Sciences University, Delhi, India. She completed her PhD in Computer Applications and a PG degree from the National Institute on Technology in Kurukshetra, India in 2020 and 2016, respectively. Dr. Patel has received various awards for her presentation of research work, and published more than 40 papers in peer-reviewed journals and conferences, as well as edited 10 books. Her research interests are in ontological engineering, semantic web, big data, expert systems, and knowledge warehouses.
作者簡介(中文翻譯)
Ambrish Kumar Mishra, PhD，是印度北方邦大諾伊達的高達姆布達大學管理學院的學者。他於2014年在印度阿米提大學獲得銀行服務碩士學位，並在銀行業工作了六年，擔任教學及作為印度BFSI行業技能委員會的共同基金和GST培訓師。他在其研究領域發表了多篇研究論文並獲得多項獎項。
Shweta Anand, PhD，是印度北方邦大諾伊達的高達姆布達大學管理學院的院長。她獲得了財富管理的博士學位，擁有超過30年的經驗，其中14年在業界工作。她獲得了多項獎項和榮譽，並在國際和國內期刊及會議上發表了多篇論文。
Narayan C. Debnath, PhD，是越南東方國際大學計算機與信息技術學院的創院院長，同時擔任軟體工程系主任。他自2014年以來一直擔任美國計算機及其應用國際學會（ISCA）主任，並在美國明尼蘇達州的維諾納州立大學擔任計算機科學的全職教授已有28年。他是500多篇發表於多個同行評審期刊和會議論文集的著作或合著者，並擔任多本書籍的編輯。
Purvi Pokhariyal, PhD，是印度德里校區國家法醫科學大學的校區主任。她在法律和司法行政領域擁有超過25年的學術和行業經驗。她在國內外期刊和會議上發表了約50篇論文。
Archana Patel, PhD，是印度德里國家法醫科學大學的助理教授。她於2020年在印度庫魯克舍特拉的國家技術學院完成了計算機應用的博士學位，並於2016年獲得碩士學位。Patel博士因其研究工作報告獲得多項獎項，並在同行評審期刊和會議上發表了超過40篇論文，還編輯了10本書籍。她的研究興趣包括本體工程、語義網、大數據、專家系統和知識倉庫。
