In the last article I demonstrated how to run a Python script with arguments from a Mo.net group projection task and return the results from the script back to Mo.net. In this third and final part of the Mo.net Loves Python series, I will reverse the scenario and use a Python script to call a Mo.net projection task.
Part two of our Mo.net Loves Python series. We look at how to run an existing Python-based Black Scholes model from a Mo.net group projection task, passing in arguments to define the vector size to use, and retrieving the completion message & run time from the Python script.
The first article in our Mo.net Loves Python series. We discuss how Mo.net and Python can be integrated in a range of different ways to meet a multitude of potential use cases.
Released in September 2021, the latest version of the platform includes a wealth of new features & functionality designed to meet the requirements of traditional insurers and start-ups. Whether you’re a new user or upgrading from an earlier version, here are some of the key enhancements you’ll find in Mo.net v7.5…
In the last few months, a number of existing clients and start-up insurers have approached us with a view to developing game-changing bulk annuity offerings. Based on our recent discussions, there appear to be three primary challenges…
This case study explores how Mo.net can be used more flexibly than initially imagined. Although Power BI seemed to be the correct solution for this redress project, Mo.net proved to be a far more efficient solution.
Spreadsheets are a much-loved tool within the actuarial community. A recent survey conducted by the Institute and Faculty of Actuaries found that 98% of respondents use Microsoft Excel to perform various day-to-day tasks. But how useful are they?