Format: Online
This webinar is sponsored by:
The large number of Internal Audit (IA) teams now have access to generative artificial intelligence (GenAI) capabilities. They are now working to understand the opportunities that this technology creates for the profession. GenAI has applications in planning, fieldwork, reporting, and the administration of an audit function.
A small vanguard of IA teams are pushing past the “out-of-the-box” AI solutions and building more advanced capabilities. But, GenAI is not without risk to IA teams and to enterprises as a whole. IA teams are taking different approaches to managing these risks. This session will discuss the state of the profession with regard to GenAI today and provide a sneak peek into how early adopters are creating the leading practices that will shape the future of the profession.
DATE: Oct 08, 2024
TIME: 1:00 PM-2:00 PM ET
One (1) NASBA CPE will only be awarded to participants on the live broadcast who are logged in for a minimum of 50 minutes and engage on at least three poll questions per each hour of the event.
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SPEAKER
Charles King
Charles King is a Managing Director in KPMG’s Internal Audit and Enterprise Risk practice with a specialty in Automation and Analytics. He serves on the National Intelligent Automation Innovation Team and works to bring cutting edge technology to KPMG engagement in all industries. Prior to his work at KPMG, Charles was the Vice President of Analytics for a $25B global food services company. In that capacity, he managed the Business Intelligence, Revenue Optimization, and Customer Research verticals. Charles holds a master’s degree in Business Analytics from New York University and an accounting degree from Southern Methodist University in Dallas. He is a Certified Public Accountant (TX, FL), a Certified Internal Auditor, a Certified Fraud Examiner, and a Certified Management Accountant.
Anton Dam
Anton Dam is the VP of Engineering for Data, AI/ML at AuditBoard. In his role, Anton is responsible for the development and deployment of artificial intelligence and machine learning technologies to enhance audit, risk, and compliance workflows. His experience includes developing enterprise AI products at LinkedIn and Workday, as well as at startups such as Restless Bandit and Skupos.