All Things Internal Audit The Institute of Internal Auditors

All Things Internal Audit: Fraud Podcast
"The Language of Fraud"

Listen to The IIA’s new Fraud Podcast brought to you by All Things Internal Audit. The Fraud Podcast provides fictionalized accounts of real-world frauds featured in Internal Auditor magazine’s Fraud department.

In the latest episode, a company receives a whistleblower complaint against one of its new acquisitions, Slate. An investigation of the communications between Slate executives and a vendor reveals key words of corruption. Listen to “The Language of Fraud.”

IIA members can access bonus content in the form of lessons learned by reading the full Fraud article.

Available now on all major podcast platforms and our Youtube channel.  

All Things Internal Audit: Exploring IPPF Topical Requirements  In this episode, George Barham, director of Standards and Professional Guidance for Technology at The IIA, discusses the Topical Requirements component of the International Professional Practices Framework.
This conversation covers:
 
-Purpose and importance of Topical Requirements in the IPPF
-Background and development of Topical Requirements
-Explanation of Topical Requirements' structure and components
-Quality assessment of Topical Requirements
-Focus on draft Cybersecurity Topical Requirement
-Public comment period and practitioner feedback opportunity
-Enhancing relevance and value of internal audit services

Get the full episode wherever you get your podcasts or YouTube.

All Things Internal Audit: Generative AI Uses for Internal Audit
In this episode, Grant Ostler, Industry Principal at Workiva, and Sue King, Partner and SOX Solutions Lead at KPMG, delve into the practical applications of generative AI in the workplace and its impact on internal auditors.

This conversation covers:

-AI compliance challenges
-Preparing for AI integration
-Emerging trends and technologies
-Governance in AI implementation
-Maximizing AI technology
-Future directions of AI in audit

Listen to full episodes at The IIA website and our YouTube channel.

All Things Internal Audit: The Data Dilemma
 
In this episode, Jim Pelletier, Senior Product Manager at Wolters Kluwer TeamMate, discusses how internal auditors can position themselves to provide assurance on all aspects of data within their organizations, particularly as new technologies and regulations will increasingly rely on data. Key to sound data governance is ensuring that data is accurate, complete, reliable, and relevant.

This conversation covers:
 
-Critical importance of data quality in internal audit
-Challenges to maintaining data quality
-Internal audit's role in assessing and validating data quality
-Risk assessment processes integration
-Strategies for audit leaders to engage with stakeholders
-Data governance issues
-Artificial intelligence and ESG reporting on data quality

This episode brought to listeners from The IIA and Wolters Kluwer.  


Get the full episode wherever you get your podcasts or YouTube.

Workiva's VP of Global ESG and CSO, Mandi McReynolds, discusses the evolving regulatory landscape for sustainability. With an emphasis on the necessity for collaboration among various teams within companies, including finance, risk, and ESG, to effectively navigate these new regulations.

This conversation covers:
 
-Compliance challenges
-Preparing for new sustainability regulations
-Governance
-Leveraging technology, including artificial intelligence
- The future direction and impact of sustainability reporting requirements and regulations
-Internal audit’s role

Get the full episode wherever you get your podcasts or YouTube: www.youtube.com/@IIAGlobalHQ/podcasts
IIA members gain exclusive access to an extended versions with bonus content at: www.theiia.org/en/resources/Podcasts-and-Video-from-The-IIA/.
 

Lexica AI CFO Jannies Burlingame discusses her upcoming presentation at the IIA's Analytics, Automation and AI Virtual Conference with Senior Manager of Content Strategy and Development Robert Pérez. The conversation covers:
Understanding data bias and misinterpretation Leveraging the benefits of Explainable AI (XAI) More!