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Blog: Predictive Model

It's important for your data science team to monitor predictive model inputs and outputs

The ins and outs of model monitoring

It’s a foregone conclusion that accelerated underwriting improves efficiency and customer..
LifeScore Labs

Life underwriting, data science and swiss cheese

These seemingly unrelated items illustrate the progression of automated and accelerated..
Dean Regrut, Head of Product

Rules engines and predictive models: A complementary force

Despite the attention the industry pays to predictive mortality models, many still lack a clear..
LifeScore Labs

Obstacles to accelerated underwriting and the ‘3 C’s’ of data

There’s a fact in the life insurance industry: The faster you can put an offer in an applicant’s..
Ada Xu

The explainability factor

In the life insurance industry, the growth of predictive models and data-driven risk assessment is..
LifeScore Labs

Connecting the dots: How predictive models can strengthen the reinsurer / carrier partnership

Is there a link between today’s machine learning (ML)-driven predictive risk models and stronger..
LifeScore Labs

How to fall in love with a (predictive) model

f Today’s life insurers are working to digitize as much of their underwriting as possible. As they..
LifeScore Labs

Your data is safe with us: Protecting data in predictive modeling

Data is an increasingly powerful asset for companies in every industry, and this is especially true..
LifeScore Labs