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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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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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Turning climate risks into business opportunities 

IBM Big Data Hub

As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices. What is climate risk? Substantial repair costs might arise, particularly impacting insurance companies.

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Is Artificial Intelligence relevant to insurance?

IBM Big Data Hub

In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. Artificial intelligence applied to insurance The insurance industry has always made extensive use of data and algorithms, such as in the calculation of insurance premiums.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh. To learn more, visit us here.

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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. One report found that big data vendors will generate over $2.4 billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. How is AI changing the future of insurance claims?

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How to build a successful risk mitigation strategy

IBM Big Data Hub

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

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