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Description

Session ID: 480

Abstract:

The UK's National Health System (NHS), using Oracle's machine learning algorithms, has identified $1 billion in potential fraud.  How about some Fun Facts about Fraud:  #1 fraud detection method is a tip, 33% of business failures are due to theft and fraud, the median time for fraud detection is 18 months and 49% of victims do not recover their losses.  With such a significant cost, why can't companies better combat against fraud?  Oracle's machine learning capabilities extend your Oracle Database into a powerful fraud detection and prevention platform.  Using ML algorithms specifically designed to detect rare events, companies are turning the tide against this scourge and building applications to automate its detection.   Learn about the types and costs of fraud and common approaches to prevent fraud.  See Oracle's machine learning functions in action and hear about customer use cases including the UK's NHS that are saving billions of dollars.  Learn how easy it can be to implement anomaly and fraud detection solutions using Oracle's "smart" combined data management and machine learning platform.

 

Objective 1: Learn about the types and costs of fraud and common approaches to prevent fraud.

Objective 2: See Oracle's machine learning functions in action, hear about approaches and use cases and hear about customer use cases that are saving billions of dollars today.

Objective 3: See simple examples and scripts that show easy it can be to implement anomaly and fraud detection solutions using Oracle's combined data management and machine learning platform

Audience: Mid-Level

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