July 2024
Intermediate to advanced
384 pages
10h 37m
English
book
Artificial Intelligence for Risk Mitigation in the Financial Industry
by Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath, Purvi Pokhariyal, Archana Patel
Content preview from Artificial Intelligence for Risk Mitigation in the Financial Industry
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3Artificial Intelligence and Financial Risk Mitigation
Raja Rehan*, Auwal Adam Sa’ad and Razali Haron
IIUM Institute of Islamic Banking and Finance (IIiBF), International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia
Abstract
The former approaches for financial risk mitigation are warranted to be revamped, as they are no longer effective. Nevertheless, the continuous advancement in fintech has developed artificial intelligence (AI), whose powered techniques are considered to be the most effective to identify and mitigate financial risk. Visibly, the financial sector as a whole is drastically altered by artificial intelligence, which gives rise to several procedures to mitigate probable financial risks. In this context, this chapter presents the AI-based financial risk detection process, which involves the main steps used to detect financial risk and then classify its types. Likewise, the established ongoing artificial intelligence-based financial risk mitigation process contains several steps that are used to lessen potential risk. Also, the strategies used by artificial intelligence to mitigate dissimilar sorts of financial risks are discussed in great detail in this chapter. Overall, this chapter discusses how quickly this modern technology provides benefits in terms of mitigating financial risks. As well, by adopting developed artificial intelligence-based financial risk identification and mitigation procedures, financial institutions can accurately evaluate ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.