July 17, 2019
1PM CDT // 11 AM PDT

Fraud Detection with Graph + Machine Learning

July 17, 2019 - 1 PM CDT // 11 AM PDT

Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond to threats and anomalies. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Graph and ML will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph  vs. traditional relational database platforms.

Predict, Identify, and Intervene Fraud with Graph & ML Analytics.

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Fraud Detection with Graph + Machine Learning

July 17, 2019 - 1 PM CDT // 11 AM PDT

Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond to threats and anomalies. Many new fraud rings use sophisticated measures for credit card and other methods of fraud. Utilizing Graph and ML will allow you to see beyond individual data points and uncover difficult-to-detect patterns. Join us to learn how to maximize time and resources with Graph  vs. traditional relational database platforms.

Predict, Identify, and Intervene Fraud with Graph & ML Analytics.

INCLUDED TOPICS:

  • Technology -  Discuss how to quickly integrate Graph & Machine learning to existing technology platform stack.
  • Actor & Entity Relationships - View people, accounts, companies, entities and relationships using Graph & Machine Learning.
  • Fraud Avoidance - Identify and intervene with internal fraud or bad actors.
  • Planning & Analytics - Custom Scoring, data visualization dashboards using Graph & Machine Learning.
  • Risk Analysis - The ability to categorize, segment, filter and score risk factors with real time data with Graph & Machine Learning.
  • Messaging - Visualization, system generated & automated messaging.
  • Permission - Identify new requests and grant or block access.
  • Machine Learning - Create predictive outcomes and visualizations for "Treasure Map" and "Correlations not seen before."

INCLUDED TOPICS:

  • Technology -  Discuss how to quickly integrate Graph & Machine learning to existing technology platform stack.
  • Actor & Entity Relationships - View people, accounts, companies, entities and relationships using Graph & Machine Learning.
  • Fraud Avoidance - Identify and intervene with internal fraud or bad actors.
  • Planning & Analytics - Custom Scoring, data visualization dashboards using Graph & Machine Learning.
  • Risk Analysis - The ability to categorize, segment, filter and score risk factors with real time data with Graph & Machine Learning.
  • Messaging - Visualization, system generated & automated messaging.
  • Permission - Identify new requests and grant or block access.
  • Machine Learning - Create predictive outcomes and visualizations for "Treasure Map" and "Correlations not seen before."

Fraud Detection 

Using ML + Graph

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