The document outlines a webinar presented by Alon Palombo of Dato on fraud detection. The webinar agenda includes an introduction of Dato, an overview of the data science workflow and what constitutes fraud, a live demo of fraud detection using real data, and time for questions. Various techniques for fraud detection are discussed, including classification, graph analytics, time series analysis, and anomaly detection.

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Fraud Detection Webinar
Alon Palombo
Data Scientist
alon@dato.com

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Agenda
• Who is Dato?
• Data science workflow
• What is fraud?
• Live demo using real data – exciting!
• Questions

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Dato: We Intelligent Applications
45+ and growing fast!

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Customers

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Data Science workflow
Ingest Transform Model Deploy
Unstructured Data

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What is fraud?
“Fraud is as old as humanity itself and
can take an unlimited variety of different forms”
• Insurance fraud
• Credit Card cashbacks
• Money laundering
• Telecommunication fraud
• Etc…
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Fraud Detection
• Classification
• Graph Analytics
• Time Series Analysis
• Anomaly Detection
• Etc…

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Fraud Detection demo – using real world data!

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Summary
• Fraud detection has actionable commercial value.
• Many different methods to be tried.
• Easy exploration, modeling, and deployment of data using
GraphLab Create.

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Our machine learning course
https://www.coursera.org/learn/ml-foundations

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Questions?
alon@dato.com