Format: Online
This webinar is exclusively sponsored by:
2023 was the year artificial intelligence broke through into the mainstream consciousness and into business use cases with the advent of generative AI and large language algorithms (LLMs). In 2024, audit, risk, and compliance teams need to prepare for a world of AI-augmented work and decision-making across all functional areas of the enterprise. IDC predicts that global spending on AI will continue to accelerate to over $301 billion by 2026.
This means that companies will need to be prepared to manage AI risk and leverage its capabilities to remain competitive in their markets. In this panel discussion, you'll hear diverse industry perspectives on understanding the risks and opportunities that AI presents for your business, and for your programs.
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.
Keep scrolling to register.
SPEAKERS
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.
Scott Newcomer
Scott Newcomer is a Software Engineer at AuditBoard. He has spent the last 3 years at AuditBoard, focused on high impact efforts such as performance architecture, leading the TPRM engineering team and recently founding the AI team to bring novel, well crafted and intentional solutions to customers.
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.