We're trying this out at a large insurance company. Historically actuarial teams created excel workbooks, r code, and python. Then those models were given to de

We're trying this out at a large insurance company. Historically actuarial teams created excel workbooks, r code, and python. Then those models were given to development teams to implement in a different language. As one might guess there were loads of bugs and the process was slow. Now we're going to deploy an R lambda that owned by DevOps which integrates all the I/O into dataframes. The lambda calls a calculation in R that takes those dataframes and returns a dataframe answer. If all goes well (prototype works fine), we saved probably 500k and 6 months.