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.
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.
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?
The demanding regulatory environment increasingly places challenging stipulations around the number of model runs required and the timeframe in which results are to be produced. Combined with the ever-increasing volume of data that most insurers wish to process this can drive the need for a scalable model solution.
Software Alliance’s Su Berry spends 5 minutes with Cornelius Franken of CJF Consulting to discuss his experience with Mo.net and the benefits it has brought to his actuarial modelling processes.
Despite the insurance industry’s historically slow adaptation to change, recent years have witnessed numerous efforts to modernise the actuarial function. Several of these initiatives have gained significant traction. However, many still fail to deliver on their anticipated benefits…
As part of Mo.net 7.6, we have extended the external interface to compiled Mo.net tasks so that it now accepts a Python list. This update allows a new array of inputs to be passed from Python to the compiled Mo.net task DLL without having to create an intermediate inputs file.