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Final Project Proposal Presentations.pdf

EECS6893-BigDataAnalytics-Lecture12.pdf
Preview of Final Project Proposal Presentations
🔗 Source: ee.columbia.edu
📊 Size: 16.26 MB
📄 Pages: 93 pages
⬇️ Downloads: 133

Summary

Big Data and AI are applied in the finance industry for various purposes, including trader anomaly detection and money laundering detection. FINRA analyzes approximately 50 billion events daily by building a graph of market order events from multiple sources. Additionally, graph databases are used to uncover information, such as in the Swiss Leak scandal and Panama Papers, which involved thousands of accounts across over 20 countries and millions of files. This technology helps reduce compliance costs and workload, such as in anti-money laundering (AML) efforts, where manual processing of alerts can be time-consuming and require a large number of analysts.

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Description

Big Data and AI are applied in the finance industry for various purposes, including trader anomaly detection and money laundering detection.

Technical Information

  • File Format: PDF
  • File Size: 16.26 MB
  • Pages: 93
  • Language: EN
  • Total Downloads: 133
  • Last Updated: 4 weeks ago

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