Using Artificial Intelligence (AI) to Identify Patterns in Tax Fraud


August 10, 2021 | 1:00 p.m. ET
Duration: 50 minutes
CPE Credits: 1

Tax evasion and noncompliance are among the largest economic crimes in the world. Effective tax collection requires tax authorities to deploy analytics technologies and capabilities to combat fraud and identify red flags in the data. Such red flags could include shell companies created for the sole purpose of receiving stimulus payments or falsified individual identities created by identity thieves.
In this webinar, industry experts from SAS and the U.S. Internal Revenue Service (IRS) will discuss advanced data analytics techniques and solutions used to identify patterns of fraud. You will learn how to combine multiple data sources and examine how the IRS uses these methods to enhance their operations.

You Will Learn How To:

  • Identify patterns of fraud in both structured and unstructured data using artificial intelligence (AI).
  • Build a 360-degree view of and entity using AI.
  • Apply data analytics like the IRS.
Speakers

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Jeffrey Cooper
Executive Industry Consultant, Financial Technology 
SAS

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R. Damon Rowe
Director, Office of Fraud Enforcement 
U.S. Internal Revenue Service 

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Steve Serrao
Senior Customer Advisor, U.S. Government Justice and Public Safety Practice
SAS


Field of Study: Information Technology
Course Level: Intermediate
Prerequisite: Working knowledge of data analytics and how the data is utilized.
Advanced Prep: None
Delivery Format: Group Internet Based



**INFORMATION YOU PROVIDE DURING THE REGISTRATION OF THIS WEBINAR WILL BE PROVIDED TO THE SPONSOR, SAS, AND MAY BE USED TO SEND YOU INFORMATION, SPECIAL OFFERS OR PROMOTIONS FROM SAS. 

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The Association of Certified Fraud Examiners, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.


Please note: To be eligible for CPE credit for the Online Archive webinar, you must complete the final exam within one year of purchase date. You may only claim CPE credit for a course once.