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Fraud Toolkit in Medical Healthcare Claims
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Demo
Fraud Toolkit in Medical Healthcare Claims
Tags:
Graph Technology
Data Science & Machine Learning
Life Sciences & Health Care
Fraud Detection
Summary:
Medical Healthcare Claims
Machine Learning, Graph Technology, and Time Series Structure
View Connections to Risky Communities
Tweak Graph and Machine Learning Algorithms to Flag Identified Patterns
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C360 for Retail
Graph Analytics
Churn Avoidance, Upsell, Cross Sell
Loyalty, Clickstream Demographics
Focused Campaign Management
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Financial Services: Fighting AML and Trade Fraud
Process improvement
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Real Time IoT
Machine Learning & Analytics
Risk Modeling
Fleet & Auto
Online Seminar
Fraud Detection and Prevention in Finance
Key Challenges in Complex Fraud
Methods to Reduce False Positives by 10%
Increase Accuracy of ID and Intervention
Visualizations for Explainable ML
Blog
What Machine Learning Can Learn from Graph
Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.
CASE Study
Optimizing A Multi-National Supply Chain
Bringing Visibility to a Complex Data Lake
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