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Sinopsis
Auditing and assurance practices have evolved significantly with the integration of artificial intelligence (AI), machine learning, and data analytics. These technologies enhance audit efficiency, accuracy, and risk identification by enabling the analysis of large and complex data sets. While some challenges remain, particularly around governance and oversight, their effective implementation can strengthen audit quality and support more informed professional judgement. Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting critically examines how auditing and assurance practices are being transformed by emerging technologies. Its central impact lies in bridging the gap between theory and practices, providing frameworks that integrate traditional audit rigor with next-generation technologies. Covering topics such as blockchain-enabled cybercrime, audit precision, and machine learning, this book is an excellent scholarly resource for graduate and doctoral students, researchers, auditors, IT professionals, and more.
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Manish Gupta is Executive Vice President and Senior Audit Director at one of the 10 largest banks in the United States, responsible for oversight of cybersecurity and technology risk management programs. He is also adjunct professor at State University of New York at Buffalo where he has been teaching graduate courses in IT auditing and IT risk management since 2012. His research has won best paper awards and has been published in MIS Quarterly, Decision Support Systems, Journal of Organizational and End User Computing, and various ACM Transactions, among others. He has alo edited or co-edited 10 books on cybersecurity and technology risk management. Manish received his Ph.D. (Management/MIS) and MBA (Finance and MIS) from State University of New York at Buffalo, NY, USA.
Raj Sharman is a Professor of Management Science and Systems, Department of Management Science and Systems, School of Management, The State University of New York, Buffalo, NY Ph.D. in Computer Science and Master of Science in Industrial Engineering from Louisiana State University, Louisiana, USA; M.Tech and B. Tech from Indian Institute of Technology (IIT), Bombay, India Research Interests: Cyber Security, Disaster Response and Business Continuity and Healthcare IT Several research projects funded by agencies such as NSF, AFSOR and the University at B
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Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting
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Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting (Paperback)
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Paperback. Condición: new. Paperback. Auditing and assurance practices have evolved significantly with the integration of artificial intelligence (AI), machine learning, and data analytics. These technologies enhance audit efficiency, accuracy, and risk identification by enabling the analysis of large and complex data sets. While some challenges remain, particularly around governance and oversight, their effective implementation can strengthen audit quality and support more informed professional judgement. Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting critically examines how auditing and assurance practices are being transformed by emerging technologies. Its central impact lies in bridging the gap between theory and practices, providing frameworks that integrate traditional audit rigor with next-generation technologies. Covering topics such as blockchain-enabled cybercrime, audit precision, and machine learning, this book is an excellent scholarly resource for graduate and doctoral students, researchers, auditors, IT professionals, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337382784
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Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting (Paperback)
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Paperback. Condición: new. Paperback. Auditing and assurance practices have evolved significantly with the integration of artificial intelligence (AI), machine learning, and data analytics. These technologies enhance audit efficiency, accuracy, and risk identification by enabling the analysis of large and complex data sets. While some challenges remain, particularly around governance and oversight, their effective implementation can strengthen audit quality and support more informed professional judgement. Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting critically examines how auditing and assurance practices are being transformed by emerging technologies. Its central impact lies in bridging the gap between theory and practices, providing frameworks that integrate traditional audit rigor with next-generation technologies. Covering topics such as blockchain-enabled cybercrime, audit precision, and machine learning, this book is an excellent scholarly resource for graduate and doctoral students, researchers, auditors, IT professionals, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337382784
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Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting (Paperback)
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Paperback. Condición: new. Paperback. Auditing and assurance practices have evolved significantly with the integration of artificial intelligence (AI), machine learning, and data analytics. These technologies enhance audit efficiency, accuracy, and risk identification by enabling the analysis of large and complex data sets. While some challenges remain, particularly around governance and oversight, their effective implementation can strengthen audit quality and support more informed professional judgement. Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting critically examines how auditing and assurance practices are being transformed by emerging technologies. Its central impact lies in bridging the gap between theory and practices, providing frameworks that integrate traditional audit rigor with next-generation technologies. Covering topics such as blockchain-enabled cybercrime, audit precision, and machine learning, this book is an excellent scholarly resource for graduate and doctoral students, researchers, auditors, IT professionals, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798337382784
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Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting
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Taschenbuch. Condición: Neu. Neuware - Auditing and assurance practices have evolved significantly with the integration of artificial intelligence (AI), machine learning, and data analytics. These technologies enhance audit efficiency, accuracy, and risk identification by enabling the analysis of large and complex data sets. While some challenges remain, particularly around governance and oversight, their effective implementation can strengthen audit quality and support more informed professional judgement. Intelligent Strategies for Audit Precision, Transparency, and Risk Forecasting critically examines how auditing and assurance practices are being transformed by emerging technologies. Its central impact lies in bridging the gap between theory and practices, providing frameworks that integrate traditional audit rigor with next-generation technologies. Covering topics such as blockchain-enabled cybercrime, audit precision, and machine learning, this book is an excellent scholarly resource for graduate and doctoral students, researchers, auditors, IT professionals, and more. Nº de ref. del artículo: 9798337382784
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