Download Van Liebergen - Machine Learning in Compliance Risk Management PDF PDF Free - Full Version
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About Van Liebergen - Machine Learning in Compliance Risk Management PDF
1) Machine learning and artificial intelligence techniques are increasingly being used by financial institutions to help manage large amounts of regulatory reporting data and unstructured data for compliance and risk management purposes. 2) Machine learning has the ability to analyze large datasets with high granularity and depth, which can improve analytical capabilities for risk management and compliance in areas like credit risk modeling, detecting illicit transactions, and credit card fraud detection. 3) However, the application of machine learning within financial institutions depends on data availability and quality, and predictive models may increase complexity and lack explanatory insight, which can be an issue for regulatory purposes where understanding is important.
Detailed Information
| Author: | ['Joseph Chukwuemeka'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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