Financial Crime World

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Financial Crime Data Analytics Tools in Egypt Boost Anti-Money Laundering Efforts

A New Era of Advanced Analytics Arrives in Egypt

CAIRO, EGYPT - Oracle Financial Services Compliance Studio has brought a new era of advanced analytics to Egypt’s financial sector, supercharging anti-money laundering (AML) programs with cutting-edge technologies such as artificial intelligence, machine learning, and graph analytics.

Unlocking Hidden Insights

Anti-money laundering teams in Egypt can now get more value from their data by bringing all internal and third-party data together in a seamless, secure way. This allows for real-time exploration and extraction of previously inaccessible insights.

  • Investigation Hub features graph visualizations that surface hidden relationships
  • Natural language processing writes case narratives, saving time and effort

Outsmarting New Schemes with Advanced Analytics

Oracle Financial Services Compliance Studio’s in-memory graph enables users to find emerging financial crime patterns and create new scenarios or models using their preferred open-source programming language.

  • Over 30 supplied graph algorithms for finding complex money patterns
  • Intuitive, dynamic graph visualizations boost the speed and accuracy of investigations

Driving Better Modeling with Machine Learning

The system enhances detection by applying deep learning to find similar criminal networks and boosts efficiency by applying machine learning to graphs to automate case decisions. Preconfigured, extensible entity resolution provides a single view of each customer and entity.

  • Deep learning for finding similar criminal networks
  • Machine learning for automating case decisions
  • Extensible entity resolution for accurate global graph

Addressing Governance and Regulatory Obligations

Compliance Studio also addresses governance and regulatory obligations through its visual canvas for building machine learning models, interactive model testing, model monitoring and alerts, and easy-to-create sandboxes for business users and citizen modelers.

  • Visual canvas for building machine learning models
  • Interactive model testing and monitoring
  • Easy-to-create sandboxes for business users and citizen modelers

Conclusion

With Oracle Financial Services Compliance Studio, Egypt’s financial sector can now stay ahead of money laundering threats and maintain a strong reputation. By leveraging advanced analytics and AI, the country’s AML efforts will become more effective, efficient, and resilient than ever before.