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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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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.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Regardless, these are examples of narrow AI. How can organizations prepare for AGI?

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Climate change examples

IBM Big Data Hub

Here are a few examples: Sea ice loss and melting ice sheets: Declining levels of Arctic sea ice threaten the habitats of species such as polar bears and walruses. Poor air quality from wildfire smoke can exacerbate asthma and heart disease, for example, while heat waves can cause heat exhaustion.

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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. It represents AI that can sift through data and divide them into classes (of attributes) by learning the boundaries. It offers customers and the insurer’s system to interact in a human-like manner.

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Insurer: Breach Undetected for Nine Years

Data Breach Today

Dominion National Says Recently Discovered Incident Dates Back to 2010 A dental and vision insurer's revelation that it recently discovered a 9-year-old data security incident offers an extreme example of the difficulty some organizations have in detecting data breaches.

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