2024 Internal Audit and Data Analytics Conference

A full-day conference exploring how internal audit teams are building their audit data analytics muscle and creating value with AI.

The Future is Now Real World Applications of AI in Internal Audit

Understand how internal audit teams and AI practitioners are deploying artificial intelligence to drive value and ROI

“How can AI be used for internal audit?” “What are the best AI tools for internal auditors?” “How to use generative AI in internal audit?” “Can internal audit be automated?” "How should we audit, or risk assess the use of AI by our stakeholders?"

These are a few of the most common queries about the use of artificial intelligence (AI) in the internal audit world.  Get the latest perspectives and opinions from experts at the one-day 2024 Seattle University Internal Audit and Data Analytics Conference on October 24.

'The Future is Now: Real World Applications of AI in Internal Audit' explores how internal audit teams are building their audit data analytics muscle using AI and creating value. Listen to how these teams are innovating and building AI use cases. Whether you run a data analytics department or are just starting one, come join others who share working and creating a strong return on investment (ROI) in deploying AI. Networking opportunities will allow you to discuss some of the AI use cases during the conference. 

Senior executives presenting and participating represent blue-chip companies such as Amazon, Deloitte, Microsoft, PwC, T-Mobile, and more.

This conference is organized in partnership with the Seattle chapters of the Institute of Internal Auditors (IIA) and the Institute of Chartered Accountants of India (ICAI). 

Registration and Pricing

  • Early Bird tickets $200 - available until September 30, 2024
  • Standard tickets $250 - available from October 1 to 24, 2024
  • Limited complimentary tickets for Seattle University students, faculty and staff - requires a Seattle University email address to be eligible

Register for Conference

Conference agenda

Enjoy a light breakfast while networking with fellow attendees.

Opening remarks delivered by Albers School of Business and Economics Dean, Joseph M. Phillips.

Casey Kacirek

National AI Risk Leader for Deloitte's Advisory Group

Headshot of Casey Kacirek of DeloitteCasey Kacirek is a Managing Director in Deloitte’s Accounting and Internal Controls practice where she is responsible for the firm’s strategy to address emerging risks related to artificial intelligence (AI) enablement. She is also Deloitte’s Trustworthy AITM leader in digital controls focused on AI governance and risk management.

Kacirek has over 19 years of experience leading client service teams to deliver internal control evaluations for Sarbanes-Oxley (SOX) compliance, SOX readiness and program development, and internal audit services across the technology, retail and healthcare industries.

A half hour break with tabletop networking and Q&A with Casey Kacirek.

Indrasis Mondal

Data Scientist, Analytics and AI Leader

Indraisis Mondal, NicheIndrasis Mondal possesses nearly two decades of industry experience in AI, ML, analytics, and data, with a distinguished track record of developing successful products, capabilities, technologies, and organizations across various sectors, including healthcare, manufacturing, aerospace, wireless, IoT, e-commerce, media, education technology, and SaaS.

As the VP of Data at Niche, Mondal is responsible for shaping the vision, strategy, and execution of data, insights, data science, machine learning, and AI products and capabilities to simplify searching and enrolling in colleges and schools for millions of families. Previously, he worked at DocuSign where he was pivotal in establishing and leading the data science, AI, and analytics functions, thereby cultivating a culture of data-driven decision-making. His tenure at Hulu saw him leading a global team to develop data products and solutions across the organization. Before Hulu, at Getty Images, he led data product and engineering teams, contributing significantly to the company’s big data strategy and platform, which facilitated data democratization, monetization, and self-service analytics.

Mondal is extremely passionate about unlocking the power and value of data and AI for everyone, and his numerous recognitions, conference appearances, and publications bear testament to his impactful contributions to the field. His achievements have been recognized with prestigious accolades such as the 2024 Top 50 AI award which recognizes outstanding AI leaders in the country, 2023 AI100 award which honors the 100 most influential AI and analytics leaders in the USA, and the 2019 Snowflake Data Drivers Award. He is an active participant and speaker at leading data and AI conferences and frequently contributes to data, analytics, and AI podcasts. His academic credentials include an Executive MBA from Seattle University’s Albers School of Business and Economics and an MS in Electrical Engineering with a focus on statistical signal processing from the Illinois Institute of Technology, Chicago.

Lynette Richmann

CAE, Amazon

or Internal Audit AI Leader

Amazon 

Headshot of Lynette Richmann, CAE at AmazonWith a broad business background and in-depth expertise in finance, risk management, governance, audit, compliance, operations and IT, Lynette Richmann focuses on the opportunities, risks and issues that really matter. She has a consistent record of providing executive management and boards with the tools and insight to improve C-Level decision making and generate higher returns.

+ Identifying and mitigating global risks, achieving corporate goals / objectives

+ Integrating strategy and business planning with risk, finance, operations & performance management

+ Providing definitive information and analysis to guide the profit-making process

+ Establishing stringent internal processes/procedures to ensure fiscal and operational controls

Richmann's experience spans several industries including software, communications, retail, manufacturing, healthcare, insurance, government, and banking. 

Her credentials include an MBA in Finance & Management Information Systems and a BA in Accounting from Michigan State University. She is a licensed CPA in Washington. Additionally, she completed the Executive Leadership Program from The Wharton School University of Pennsylvania.

Steve Mar

Audit Data Analytics Adjunct Professor, Seattle University

Steve Mar, Adjunct Professor at Seattle UniversitySteve Mar is an Adjunct Professor at Seattle University. He teaches Cybersecurity and IT Audit and Audit Data Analytics. He is retired part-time and consults part-time on Cybersecurity and IT Audits for ITK in Hawaii.   

Brian Foster

CAE, ServiceNow

Brian Foster, CAE of ServiceNowBrian is the Chief Audit & Risk Executive at ServiceNow, leading Internal Audit, Enterprise Risk & Issue Management, Business Continuity Management, SOX, and ServiceNow IRM internal implementation. He and his team provide assurance to senior leaders and their Board that ServiceNow is appropriately addressing significant risks to responsible growth.

Before ServiceNow, Brian spent 20 years at Microsoft in Finance & Internal Audit roles, most recently leading their global Internal Audit team. He began his career with Deloitte and has previously served on the IIA North American Board of Directors. 

Mudit Gupta

Partner, PwC

Mudit Gupta of PwC AdvisoryMudit Gupta is a Partner with PwC Advisory, with over 18 years of global diversified experience across management consulting, assurance, information security, business finance management, and business process outsourcing. At PwC, he is part of the Cyber, Risk, and Regulatory group and focuses on enterprise risk and controls. Gupta has recently been working on AI projects. 

 

Shyam Dhanuka

Worldwide Compliance Lead - CE&S Business at Microsoft

Shyam Dhanuka, Worldwide Compliance Lead - CE&S, MicrosoftShyam Dhanuka is the Compliance Lead of Microsoft’s Customer Experience and Support business. He is a CA, M.Com. and CPA. Dhanuka has over 27 years of experience in risk management, internal audit, risk & governance, compliance, Sarbanes Oxley, investigations and due diligence. Prior to joining Microsoft, he worked with PwC, Oracle, Ocwen Federal Corporation, Bank of America and Barclays Bank. 

Mudit Gupta

Partner, PwC

Mudit Gupta of PwC AdvisoryMudit Gupta is a Partner with PwC Advisory, with over 18 years of global diversified experience across management consulting, assurance, information security, business finance management, and business process outsourcing. At PwC, he is part of the Cyber, Risk, and Regulatory group and focuses on enterprise risk and controls. Gupta has recently been working on AI projects. 

Irina Voloshin

Director of Institutional Research, Seattle University

Irina Voloshin head shotAs a passionate and dedicated data science professional, Irina Voloshin's career has been defined by a deep commitment to harnessing the power of data to drive strategic decision-making. With over 10 years of rich experience, she has consistently demonstrated her ability to blend advanced statistical methodologies and data science principles with a human-centered approach. This unique combination allows her to effectively communicate complex analytical insights to a diverse range of stakeholders, including senior leadership, faculty, staff, and students. 
 
Voloshin's approach to leadership is rooted in empathy and support, fostering an environment where creativity and analytical rigor coexist harmoniously. She prides herself on her ability to provide robust, evidence-based analyses that not only inform but also inspire strategic conversations and initiatives.

Voloshin's executive presence, marked by clear and persuasive communication, positions her as a trusted partner in executive decision-making circles. At the core of her professional ethos is the belief that a supportive and dynamic work environment is key to achieving and sustaining institutional excellence. This philosophy has been the cornerstone of her success in driving transformative change and delivering results that not only meet but exceed organizational goals. 

Fifteen minute break until the next session.

Mark A. Chinen

Professor of Law, Seattle University

Mark Chinen, Professor of Law at Seattle University School of LawMark Chinen is Professor of Law at the Seattle University School of Law. He was educated at Pomona College and Yale Divinity School before receiving his law degree from Harvard Law School. Prior to beginning law teaching, Chinen practiced in the areas of international trade and corporate and securities law in Washington D.C. with the firm Covington & Burling.

Chinen teaches the ‘law’ of artificial intelligence, contracts, business entities and courses in international economic law. He is the author of two books: The International Governance of Artificial Intelligence (2023) and Law and Autonomous Machines: The Co-Evolution of Legal Responsibility and Technology (2019). He has given several talks and CLEs on AI, law and ethics. He is a commissioner on the Washington State Minority and Justice Commission.

Michael Kinsley

Senior Program Manager, Risk & Compliance, T-Mobile

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Conference Contact

Jeremy Huff

Senior Administrative Assistant