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Big Data Against Money Laundering_ Machine Learning, Financial Applications And RegulationsZDNet.pdf

Big-data-against-money-laundering_-machine-learning-financial-applications-and-regulationsZDNet.pdf
Preview of Big data against money laundering_ machine learning, financial applications and regulationsZDNet
🔗 Source: feeinc.com
📊 Size: 2.96 MB
📄 Pages: 14 pages
⬇️ Downloads: 36

Summary

Big data and machine learning can be used to predict and prevent financial fraud, such as money laundering. The "Russian Laundromat" case, which involved global banks operating in the UK, exposed the need for more effective anti-money laundering measures. Machine learning algorithms can analyze large volumes of data to identify patterns and anomalies, helping to detect and prevent financial crimes. However, the use of machine learning in this area is still in its early stages, and there are challenges to be addressed, such as the need for transparency and explainability in machine learning models, as well as the potential for false positives and negatives. Despite these challenges, many financial institutions are increasing their budgets for anti-money laundering efforts, and machine learning is seen as a key tool in this fight.

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Description

Big data and machine learning can be used to predict and prevent financial fraud, such as money laundering.

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  • File Format: PDF
  • File Size: 2.96 MB
  • Pages: 14
  • Language: EN
  • Total Downloads: 36
  • Last Updated: 2 months ago

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