Live Webinar October 8th, 2014 1:00 PM – 2:00 PM EDT
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly Webcasts

The Association of Certified Fraud Examiners (ACFE) found that a typical organization loses 5% of revenues to fraud each year.  The more connected the industry the more potential there is for fraud. The mobile industry alone loses over $46 billion annually to fraud. When it comes the detecting fraud in the financial services industry 16% take up to 8 hours to detect it and 22% do not know the average time for detection.

Traditional approaches, designed to combat fraud, often bring together a patchwork quilt of database, ETL (Extract, Transform and Load) and BI technologies working in a batch mode.

The problem is this delivers insights that are hours or days behind. Unfortunately fraudsters work in real time and often complete their job in under a day.

This presentation will review the approach Argyle Data has taken to develop a real-time fraud analytics application using anomaly detection at scale building on open source technology developed at the NSA (Accumulo) and Facebook (Prestodb) on the Hortonworks Data Platform.

The presentation will review:

1. Market
   • The Financial Scale of Fraud
   • Types of Mobile Fraud
   • The Scalability Required to Track Fraud in a Mobile Network
2. Accumulo
   • What is Accumulo
   • Accumulo on the Hortonworks Data Platform
3. Argyle Data
   • Creating a Packet Level Data Lake
   • Using a Signal Processing Approach for Anomaly Detection at Petabyte Scale

Presenters:

Dr. Ian Howells, Ph.D. Chief Marketing Officer for Argyle Data is a passionate technologist and serial entrepreneur with over 25 years experience building successful technology companies through IPO and acquisition. Prior to joining Argyle Data, Ian has held senior marketing roles at Documentum, StorSimple, SeeBeyond, Couchbase, and Alfresco.  Ian has a passion for applying big data analytics techniques to marketing and open source.

Dr. Billie Rinaldi, Sr. Ph.D. (LinkedIn profile) Member of Technical Staff, Hortonworks currently prototypes new features related to application monitoring and deployment in the Apache Hadoop ecosystem in her position at Hortonworks, Inc. She is co-authoring an O’Reilly book  on Accumulo: Application Development. Billie has engaged in big data and research at the National Security Agency and she has been providing technical leadership regarding Apache Accumulo. Billie is the VP of Apache Accumulo, the Accumulo Project Management Committee Chair, and a member of the Apache Software Foundation.

PDU Category C (PMBOK 5) documentation details:
Process Groups: Executing
Knowledge Areas: 8 – Quality 11 – Risk

• 5.2 Collect Requirements
• 5.3 Define Scope
• 8.1 Plan Quality
• 11.2 Identify Risks
• 11.5 Plan Risk Responses

As a Category C “Self Directed Learning Activity” remember to document your learning experience and its relationship to project management for your “PDU Audit Trail Folder”

Click to register for Beating Billion Dollar Fraud Using Anomaly Detection: A Signal Processing Approach using Argyle Data On The Hortonworks Data Platform With Accumulo