Embedded lease completeness testing under ASC 842 and quality of earnings.
Typically, financial professionals want to focus on what is most anomalous; however, have you considered what the lack of anomalies in a data set can mean? This session will cover example use cases for when a financial professional finds the least anomalous transaction the most interesting, such as assessing the risks of embedded leases and quality of earning assessments.
This webinar will focus on:
- What is a financial anomaly?
- How AI can identify anomalies for a professional’s review
- The meaningfulness of non-anomalous transactions
At the completion of this session, attendees will have a better understanding of financial anomaly detection.