Emerging Innovations in Forensic Data Analytics, Crypto Currencies and AI, ChatGPT

Saturday, June 28, 2025
Webcast or Webinar, Online
10:00AM - 11:51AM (opens at 9:30 AM) EST
2Credits
Technical Business

Registration is Open

Members
$79.00 Regular Price
Non-Members
$109.00 Regular Price

CPE PowerPass Users

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$40.00 Members / $56.00 Non-Members
Course Type: Webcast
Course Code: 25/AC750442
Level: Intermediate
Vendor: ACPEN
Field of Study: Specialized Knowledge, Information Technology

Overview:

In this course, participants will learn about key trends and innovations impacting the field of forensic data analytics.  From generative AI to ChatGPT, machine learning and transaction review, data sharing consortiums and cryptocurrency trends, this course is for the futurist who wants to be leading edge in compliance and anti-fraud technology innovation. 

Objectives:

  • Understand ChatGPT, and how it can apply to continuous monitoring and dashboards
  • Machine learning fundamentals and practical applications 
  • What are the risk trigger profiles of an improper or corrupt payment
  • What is MIT's Integrity Distributed data sharing consortium initiative among leading global companies to fight fraud and global corruption
  • Understanding Bitcoin and crypto-currencies from an accountant's perspective
  • Data security consideration

Major Topics:

  • AI and ChatGPT
  • Machine learning & predictive transaction tagging
  • Profiles of an improper or corrupt vendor payment
  • Data Sharing Consortium and Split Learning Techniques
  • Cryptocurrency trends and applications from an accountant's perspective

Major Topics:

  • AI and ChatGPT
  • Machine learning & predictive transaction tagging
  • Profiles of an improper or corrupt vendor payment
  • Data Sharing Consortium and Split Learning Techniques
  • Cryptocurrency trends and applications from an accountant's perspective

Designed For:

CPAs, Certified Fraud Examiners (CFEs), Internal Auditors, Finance and Risk Professionals & HR and Internal Investigations

Prerequisites:

None