Loss Aggregation & Dependency Modeling

Purpose

Loss Aggregation & Dependency Modeling applies ML and network analytics to model interconnectivity across insureds and estimate correlated loss potential.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team/BU and owned by Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits within insurance loss aggregation and dependency analysis activities where policy network links, cloud provider dependencies, and vendor data are used to understand correlated exposure potential.

Key capabilities / workflow

The workflow loads available policy and dependency data, checks whether the data is sufficient, models interconnectivity across insureds using ML and network analytics, validates dependency modeling, and then estimates correlated loss potential.

Inputs

The specified datasets are policy network links, cloud provider dependencies, and vendor data. Other inputs are not specified in the provided information.

Outputs / Deliverables

The specified output is an estimate of correlated loss potential. Other outputs or deliverable formats are not specified in the provided information.

Value

The agent helps insurance teams analyze interconnectivity across insureds and assess correlated loss potential using available network and dependency data.