Enhancing Internal Audit’s Impact with AI & Analytics

With a rapidly-changing regulatory environment, a growing shortage of trained professionals, and other macro challenges, today’s internal audit, risk, and compliance professionals are faced with increasing demands to “do more with less” and to help their organizations build resilience against emerging risks. While auditors have leveraged elements of artificial intelligence (AI) and data analytics for years to help them tackle expanding demands, the release of several generative AI models has introduced even more opportunities for internal auditors to transform processes with technology. Join us as we explore ways internal auditors can broaden their use of data analytics, apply AI—including gen AI—to add more value not only to their own team, but also by expanding the use of technology across the first and second lines as well. We’ll also examine the risks AI introduces, strategies for mitigating these risks, and practical examples of how audit departments are using AI. Learning objectives: -Understand how internal auditors are leveraging data analytics, bots, and other forms of AI to gain efficiencies and expand coverage -Discover how gen AI can help internal auditors enhance their understanding of risks facing their organization -Recognize risks inherent in the use of AI, determine steps internal auditors can take to mitigate those risks, and discuss what auditors should consider as regulations around AI evolve -Outline specific examples of how internal auditors are using AI to increase their impact on their organizations Some or all of the services described herein may not be permissible for KPMG audit clients and their affiliates or related entities.