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加拿大留学生作业代写 高调整的效率

Keywords:加拿大留学生作业代写 高调整的效率

我们相信,该工具将大大提高调整的效率。把自己想象成一个调解人;当你每天面对数以百计的索赔要求时,你不可能从索赔中识别出每一个欺诈行为。通过使用这个工具,理算员不需要浪费时间调查可靠的承包商索赔。我们希望这个工具的初始精度是70%,随着更多的数据放入这个工具,初始精度会提高。当它成熟时,它将发现超过95%的欺诈。开发这个模型的时间和成本是可以承受的,我们相信它将在1个月内成熟。一组来自Geico的内部技术专家将负责该工具的维护。我们的第二个问题是如何使保险报价更加准确和个性化。传统的汽车保险定价方法是使用金融模型,该模型依赖于对过去业绩的统计抽样来预测未来的结果。然而,由于人工智能允许基于真实事件的实时预测分析,使用大型数据集而不是样本来做出最佳猜测,像Progressive这样的竞争对手已经在他们的定价政策中使用了这项技术。因此,为了在市场上取得成功,Geico必须迅速从基于类别可能行为的定价转向基于个人实际行为的定价。结合传感器和机器学习算法将使Geico能够使用基于从客户端驱动程序收集的数据的预测分析。
加拿大留学生作业代写 高调整的效率
We believe that the tool will greatly increase the efficiency of adjusting. Imagine yourself as an adjuster; when you faced with hundreds claims every day, it is impossible for you to identify every fraud from claims. By using this tool, adjusters don’t need to waste time on investigating claims from reliable contractors. We hope that the tool will have initial accuracy of 70%, which increases with more data put in this tool. When it matures, it would detect more than 95% frauds. Time and cost of developing this model would be affordable, we believe that it matures in 1 month. A group of internal technical experts from Geico will take responsible for maintenance of the tool.Our second question is how to make more accurate and customized pricing for insurance quotes. The traditional way to price the motor insurance is using financial models which depends upon statistical sampling of past performance to forecast future outcomes. However, since artificial intelligence allows predictive analytics based on real events, in real time, using large datasets rather than samples to make the best guess, competitors like Progressive have already using this technology in their pricing policy. So in order to succeed in the market, Geico will have to rapidly move from pricing based on the likely behavior of categories to pricing based on the actual behavior of individuals. Combining sensors and machine learning algorithms will enable Geico to use predictive analytics based on data collected from client drivers.

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