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Insurance Charges Prediction Using MLIB

Analytics Vidhya

Introduction on MLIB In this MLIB article, we will be working to predict the insurance charges that will be imposed on a customer who is willing to take the health insurance, and for predicting the same PySpark’s MLIB library is the driver to […].

Insurance 381
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PolicyGPT Can Clear All Your Insurance Queries

Analytics Vidhya

PolicyGPT is a service created to make health insurance more affordable. A Glimpse into the Future of […] The post PolicyGPT Can Clear All Your Insurance Queries appeared first on Analytics Vidhya.

Insurance 305
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Applications of Machine Learning and AI in Insurance in 2023

Analytics Vidhya

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. Here are some of the numbers that support this claim: The Willis Towers […] The post Applications of Machine Learning and AI in Insurance in 2023 appeared first on Analytics Vidhya.

Insurance 327
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Why a data-first culture is key to unlocking value from AI in insurance

CIO Business Intelligence

Data is the lifeblood of the modern insurance business. Yet, despite the huge role it plays and the massive amount of data that is collected each day, most insurers struggle when it comes to accessing, analyzing, and driving business decisions from that data. There are lots of reasons for this.

Insurance 131
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Data Science Fails: Building AI You Can Trust

AI has the power to transform countless industries — including the healthcare, banking, insurance, and public service sectors, to name just a few — by introducing new efficiencies and revealing new opportunities for companies to solve problems.

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AI Poised to Disrupt the Insurance Industry

Corinium

AI is coming to the disrupt the insurance industry. From Ping An in China to Lemonade in the US, companies across the globe are harnessing AI technologies to drag the sector into the 21st century.

Insurance 243
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Solving the Insurance Industry’s Data Quality Problem

Corinium

Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry. Using data to inform business decisions only works when the data is correct.

Insurance 221