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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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Finance Toolkit
Market Overview tab walkthrough
Company Overview tab walkthrough
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Financial Services: Fighting AML and Trade Fraud
Process improvement
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Case management
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Blog
Pulsar, Musings from a DataStax and Confluent Partner
Blog #1 in a series that will highlight the aspects of Pulsar that make it an attractive prospect for your messaging and data streaming needs.
CASE Study
Optimizing A Multi-National Supply Chain
Bringing Visibility to a Complex Data Lake
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