Back in January, I outlined an approach for sourcing model assumptions at run time using a web data source. This approach used some custom code and a third party DLL to connect to the data source endpoint and digest the response. Following the release of Mo.net 7.7 this has just become much more straightforward.
Mo.net Quotations Service can be integrated to work with Quotation portals, Policy Admin Systems, Underwriting systems and a variety of other systems in use across the insurance enterprise. Until recently, clients using Mo.net Quotations service have typically hosted it on premise for internal use and therefore required limited security features. However, with the increased mobilisation of activities to the cloud, security has come under much more scrutiny.
As the complexity of models used by insurance enterprises continues to escalate, and the reliance placed on such models continues to grow, the importance of ensuring that models operate as intended comes under increased scrutiny.
When trying to model any product there are various elements that it can be helpful to have to hand.One such element is a sample model for the specific product that shows how to model some of the possible features under one or more use cases. Within Mo.net Model Development Studio you will find several of these lightweight samples to help accelerate your modelling projects. The Funeral Plan project has just been added to the samples for the next release and is one of the more fully featured examples. This was developed in partnership with Insight Life Solutions.
Today, I’m excited to sit down with Pamela, Head of Insight Life Solutions to discuss her insights into the actuarial profession and her team’s experience with Mo.net.
In the rapidly evolving landscape of the insurance industry, efficient and secure communication between stakeholders is more critical than ever. The Origo Messaging Standard has emerged as a powerful solution to streamline these interactions, particularly for insurance contracts.
This blog article introduces our latest paper, which presents a Mo.net powered solution that offers a streamlined approach for pension providers to align with the dashboard’s requirements.
Despite the importance of assumption management, many organisations still struggle to find a robust yet flexible solution to the problem and lack an effective assumption management framework.
Responding to a request from an existing client who wanted to connect their current Mo.net-based front office illustration platform with a new underwriting system, this blog article demonstrates how external API data sources can easily be used in a Mo.net model.
For years, there has been discussion about the use of graphics processing units (GPUs) to enhance the performance of financial models. Can GPUs represent a significant leap forward in the performance of financial models, or do the challenges and overheads outweigh the benefits?