POA&M \/ Issue assignment using the GRC Predictive Intelligence
By training a similarity solution model that uses machine learning so that the system can automatically suggest how to route issues to the correct assignee. Automatic routing suggestion reduces the time spent on deciding who should own the issue.
Use the Governance, Risk, and Compliance: Predictive Intelligence plugin utilizes Artificial Intelligence (AI) and Machine Learning (ML) to make GRC issue management smarter. On the GRC issue form, users are given suggestions for the assignment of issues to appropriate candidates. These suggestions based from the platform similarity solution model.
How to accomplish it
Train the solution definition after installing the GRC: Predictive Intelligence plugin along with its dependencies. The Platform Machine Learning Administrator (ml_admin) can also customize the solution definition. This modification is based on the data in tables. Some of the critical fields, such as the filter condition Assigned to [is] [not empty], must not be modified because modification may impact how the UI shows the prediction results.
Train and use the similarity solution definition for issue assignment prediction
Written by:
Mohammed Kemal
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About me
Hi there 👋 I am Mohammed Kemal, a distinguished technology certified technical architect, manager, trainer, public speaker, and consultant at a Fortune 500 Global Firm, where I spearhead multimillion-dollar technology implementations. Prior to my career in technology consulting in the USA, I served as the National Focal for Neonatal and Child Survival at the Ministry of Health in Ethiopia. Under my leadership, I played a pivotal role in expanding NICU centers from a single location in Addis Ababa to 27 centers, significantly enhancing neonatal care across Ethiopia. For my innovative contributions, I received the Ministry of Health Ethiopia Great Idea Awardd.....
