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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.

Insurance 221
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DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Demographics.

Insurance 111
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Perplexing Impacts of AI on The Future Insurance Claims

Smart Data Collective

We previously talked about the benefits of data analytics in the insurance industry. billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. The insurance industry is evolving with new changes in AI. How is AI changing the future of insurance claims?

Insurance 139
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. The next part of our cloud computing risks list involves costs. One of the risks of cloud computing is facing today is compliance.

Risk 237
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A New Era for Global Risk

Corinium

Disasters drive innovation in the insurance industry.

Risk 170
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Small Companies Use Analytics to Save Big On Business Insurance

Smart Data Collective

Big data technology has been a huge gamechanger in the insurance sector. More insurance are using big data to assist with the underwriting process. They are getting a better understanding of risk and choosing rates for their policyholders. However, insurance companies aren’t the only ones affected by big data.

Insurance 129