
Episode 9: The role of data science within insurance claims
(Re)thinking insurance
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Is Your Data Right for This Kind of Machine Learning Solution?
I think data capture storage centralization is very important and having that really high quality of data will obviously give you a better outcome. You can always build models with understanding of the strengths and weaknesses of the data you have. A model is better than no model is the phrase to use. But if you can continually improve your your data as well as build an initial model That gives you a good good starting point and a good natural evolution.
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