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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

Code breaker: Using medical claims codes in underwriting

Data drives underwriting, transformation and risk assessment. As such, the life insurance industry..
LifeScore Labs

The need for speed: A “Maverick” approach to underwriting

The multiple award nominations for “Top Gun: Maverick” at this year’s Oscars got us thinking. What..
LifeScore Labs

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

How to fall in love with a (predictive) model

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

It’s about time: The ROI of faster underwriting

Perfection takes time—and time is a valuable commodity. It’s also a priority for the actuarial..
LifeScore Labs