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In 2025, insurers face a data deluge driven by expanding third-party integrations and partnerships. Specifically, within the insurance industry, where data is the lifeblood of innovation and operational effectiveness, embracing such a transformative approach is essential for staying agile, secure and competitive.
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Because of its pervasiveness and depth, AI has a very large potential for disruption that’s different from previous technologies. This is a significant change moment,” says Rich Wiedenbeck, CAIO of Ameritas, an insurance and financial services company headquartered in Lincoln, Nebraska. And Wiedenbeck is no stranger to AI.
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Cyber insurance. Throw in all the technical debt – and the cultural tendency (and often necessity) of building connections for backward compatibility. Throw in all the technical debt – and the cultural tendency (and often necessity) of building connections for backward compatibility. Testing vendor solutions. State actors.
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Currently, technological advancements offer the insurance industry a tremendous opportunity to meet growing customer needs. These startups came up with interesting projects that make the insurance industry much more pleasant for the end users. It was founded to provide cyber risk intelligence to the insurance industry.
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Or spend weeks, being suffocated by the bureaucracy of your insurance company just to get a refund after a minor car accident. In this article, we’ll cover one particular set of technologies that promises to transform the whole idea of doing finances in the world. Claim automation. This takes hours or days to process and validate.
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It should thus come as no surprise that automation, delivered via technological innovation, has found a home in multiple supply chain functions. RPA is already changing the healthcare sector and has implementations in insurance operations. RPA is often confused with other technological advances. What is RPA?
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