THE FUTURE OF AUDITING: HOW MACHINE LEARNING COULD TRANSFORM ANALYSIS
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Audit process automation will have a massive impact on auditing activities. This automation uses data from business software combined with machine learning technology to help auditors recognizing data patterns.
Machine learning can automate the accounting entries process, identify anomalies, and improving fraud detection capabilities. As a result, organizations that use machine learning in their audit process would reduce audit costs and increase time efficiency.
Machine learning enables auditors to improve performances. It will help them optimize their time, allowing them to use their human judgment to analyze a broader and deeper data set and documents. It also enables them to ask better questions and interact more with CFOs, audit committees, and company boards, adding value to the audit process. In this way, AI could contribute to providing better-quality audits – and an exciting future for auditors.
Our panelists will discuss how Data Science (Machine Learning) can increase the effectiveness and automate the audit process in this session.
Adhie Paramartha – Group Head, Audit Data Analytics Department at Bank Rakyat Indonesia.
Pingky Dezar Zulkarnain – Kepala Bagian Dukungan Pemeriksaan dan Manajemen Kinerja TI, Biro Teknologi Informasi at BPK RI.
Cecilia Astrid Maharani – Interim Head of Data at Mekari.