Remove Data Processing Remove Insurance Remove Predictive Modeling Remove Risk Management
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What to Do When AI Fails

O'Reilly on Data

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” Broadly speaking, materiality is the product of the impact of a model error times the probability of that error occuring. just hopefully less so than humans.

Risk 359
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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.