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Financial Crimes Investigation Workbench
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Financial Crimes Investigation Workbench
Tags:
Finance
Fraud Detection
UX for Complexity
Summary:
Financial Crime
ML & Graph Technology
Investigation Workbench
Deep Link Analytics
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Demo
C360 for Retail
Graph Analytics
Churn Avoidance, Upsell, Cross Sell
Loyalty, Clickstream Demographics
Focused Campaign Management
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Finance Toolkit
Market Overview tab walkthrough
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Financial Services: Fighting AML and Trade Fraud
Process improvement
Provide alerts
Case management
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Lightning Talk
Machine Learning For Structured Finance
Alternative Investments
Predict Next-Best Position
Score Next-Best Move
Time-Series Forecasting
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Financial Services Toolkit: Portfolio Demo
An In-Depth Look into the Performance Recommendation Widget
'What If' Scenario Building
Sharing Interactions with Jupyter Notebook
Running and Editing Scenarios in Jupyter Notebook
Online Seminar
Anti-Money Laundering With FIBO, Graph, & ML
Overview of AML mandates and process changes impacting audit and compliance
How to use 3rd party data and Graph & ML for case management efficiency
AI & ML use cases for fraud investigation with ‘human-in-the-loop’
How graph improves entity resolution, and scoring and analytics processes
Blog
Fraud Detection Using Deep Learning
How to detect both credit card fraud and money laundering using graph and machine learning.
CASE Study
OpenDoor
Unlocking Liquidity in the Treasury Bond Market
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