Julie Batsch

Partner, Risk Assurance

PwC Luxembourg

Julie is a Risk Assurance partner with PwC Luxembourg.  She heads the Luxembourg Data & Analytics practice, and leads in applying advanced techniques on Internal and External Audit assignments.

In her extensive 15+ year career, Julie has served clients in the financial sector both as an internal and external auditor. Her pursuit for operational excellence and risk management has led her to explore, and apply the most comprehensive and effective means to provide assurance. She is passionate about, and at ease with using insightful Data & Analytics and AI methods in her work.

Titre 1


Thursday, 19th -11:20 a.m. to 12:10 p.m.

Concurrent session 1.4 - Explainable AI for IA - Opening the black box will become a priority  

Artificial Intelligence (AI) represents great opportunities. Properly understood, it provides powerful mechanisms for companies, risk managers and internal auditors to maintain control, monitor results or KPIs, and ensure trust.

This session will focus on the benefits internal auditors could gain from understanding AI projects and techniques, ensuring the risks of automation are covered, but also by integrating aspects of it in their audit plans. For example, internal audit could draw on governance and control framework in place for AI projects to limit risk of bias, risk of “black box” and risk of lack of traceability.

with Christophe Daudrix, Director Risk Assurance, PwC Luxembourg

        Marc Damez-Fontaine, Director Data Science Practice Leader, PwC France

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