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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.

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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

Risk 112
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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

According to Berenberg analysts , individual insurance companies faced total claims estimates of up to approximately USD 300 million. For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. As a result, their market would shrink.

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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.

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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 107
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Patient data is at greater risk than ever. AI can help

CIO Business Intelligence

Sensitive personal and medical information can be used in multiple ways, from identity theft and insurance fraud to ransomware attacks. The risks and opportunities of AI AI is opening a new front in this cyberwar. It’s little wonder that data theft is increasingly common in the healthcare sector.

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