{"id":17182,"date":"2024-11-08T09:55:43","date_gmt":"2024-11-08T08:55:43","guid":{"rendered":"https:\/\/kauz.ai\/ai-adoption-in-the-fast-lane-for-insurance-companies\/"},"modified":"2024-11-08T11:45:29","modified_gmt":"2024-11-08T10:45:29","slug":"ai-adoption-in-the-fast-lane-for-insurance-companies","status":"publish","type":"post","link":"https:\/\/kauz.ai\/en\/blog\/ai-adoption-in-the-fast-lane-for-insurance-companies\/","title":{"rendered":"AI adoption in the fast lane for insurance companies"},"content":{"rendered":"

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Degree of digitization in the insurance industry<\/b><\/h2>\n

Rankings on the degree of digitalization of different industries are only of limited value, as they can hardly take into account the different process complexities, market conditions and numerous industry-specific influencing factors comprehensively enough to enable a valid comparison. However, the fact that the digitalization of the insurance industry is making massive progress is impressively demonstrated by the following figure: 99% of all decision-makers surveyed in a recent <\/span>Ernst & Young study<\/span><\/a>are already investing in artificial intelligence in a wide variety of formats. Nevertheless, many issues surrounding AI are making smooth adoption for progressive process automation difficult. <\/span><\/p>\n

AI obstacles, solutions and key tasks at a glance <\/b><\/h2>\n

We have compiled an overview for you of the challenges, but also of existing solutions and key areas of responsibility for redesigning insurance processes using artificial intelligence. <\/span><\/b><\/p>\n