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

Cloudera

The Danger of Black-Box AI Solutions We believe the best, most pragmatic solution for AI in financial services and insurance is what we call–“Trusted AI.” Formalize ethics and bias testing. Develop and implement automated tests to identify biases in AI models, ensuring that models align with ethical standards and fairness criteria.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes.

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What is the Chi Square Test of Association and How Can it be Used for Analysis?

Smarten

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. Use Case – 1. About Smarten.

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Predictive Analytics Use Case: Online Target Marketing!

Smarten

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Learn More: Online Target Marketing Use Case. Customer Targeting.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. This governance includes tracking the status of each model on an inventory across the entire enterprise.

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The most valuable AI use cases for business

IBM Big Data Hub

Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions. Insurance With AI, the insurance industry can virtually eliminate the need for manual rate calculations or payments and can simplify processing claims and appraisals.

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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.

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