Webinar | New AI, Same Old Data Problems: Breaking Down Internal Audit’s Data Barriers

Internal auditors are told to "do more with AI" - but they keep hitting the same wall: unusable data. Before AI can deliver anything useful, financial and enterprise data has to be accessible, centralized and standardized. In this session, Dr. Hernan Murdock and Michael Petersen break down the real obstacles audit teams face today - limited access, fragmented systems, non-standardized data - and what it takes to fix them. They also cover the privacy, governance and risk questions that come with feeding organizational data to AI. SPEAKERS Dr. Hernan Murdock - former VP of Audit Content at ACI Learning and MIS Training Institute, with a long track record leading audit and consulting projects across industries. Michael Petersen - Enterprise Account Executive at Supervizor, working with CAEs across the US and Canada on analytics, continuous monitoring and strategic advisory.