Artificial Intelligence for Risk by Ambrish Kumar Mishra (.ePUB)

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File Size: 10.8 MB

Artificial Intelligence for Risk Mitigation in the Financial Industry by Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath
Requirements: .ePUB reader, 10.8 MB
Overview: This book extensively explores the implementation of Artificial Intelligence (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 Artificial Intelligence 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. Artificial Intelligence (AI) can enhance the efficiency and effectiveness of risk management in the financial sector using Deep Learning, Machine Learning algorithms, and Natural Language Processing (NLP). These methods can be used to ascertain the existence of potential threats, unearth fraudulent activities, and provide predictive analytics that are helpful in making decisions. The application of Artificial Intelligence to risk management has the potential to significantly improve decision-making and to reduce risks and raise overall financial stability.
Genre: Non-Fiction > Tech & Devices

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