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Future Forward: Analytics and AI Integration Strategies for Bank Internal Audit Teams
Metrics illustrating the potential of analytics & AI on banks.
Benefits and risks of utilizing analytics & AI in audit processes.
7 best practices for implementing analytics & AI at your bank.
What's inside
In today's dynamic financial services environment, banks of all sizes are facing intensified scrutiny and increased regulatory pressure following the high-profile bank failures of 2023. The FDIC and other regulators are stepping up surprise CAMELs exams as banking institutions also contend with compliance demands including the SEC’s new cybersecurity disclosure requirements, the Dodd-Frank Act, and BSA/AML audits. Consequently, internal audit teams at banks are challenged to balance heavier workloads with budgetary constraints, necessitating strategic resource allocation.
AuditBoard’s guide, Future Forward: Analytics and AI Integration Strategies for Bank Internal Audit Teams, explores the promise and challenges of advanced analytics and artificial intelligence (AI) solutions in helping banking internal audit teams manage their workloads more efficiently and effectively. In this period of heightened regulatory demands, there has never been a better time to consider maturing your audit team’s analytics and AI capabilities. Download the free guide to learn:
Metrics illustrating the impact and potential of analytics and AI on banks.
The benefits and risks of utilizing analytics and AI in your audit processes.
7 best practices for successfully implementing analytics and AI at your bank.
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