"/>

        欧美精品在线第一页,久久av影院,午夜视频在线播放一三,久久91精品久久久久久秒播,成人一区三区,久久综合狠狠综合久久狠狠色综合,成人av一区二区亚洲精,欧美a级在线观看

        AI monitoring can help insurance firms, customers in Norway save money: report

        Source: Xinhua    2018-05-26 02:23:34

        OSLO, May 25 (Xinhua) -- Artificial intelligence (AI) will help both insurance companies and customers in Norway to save money if the latter are willing to share private information, public broadcaster NRK reported Friday.

        Norwegian insurance company Sparebank 1 Forsikring has decided to utilize artificial intelligence in providing insurance. This technology will allow monitoring people who are on holiday.

        The company expects to save millions of dollars only on controlling glass damages, the report said.

        "A customer can be for example notified that a flood is heading towards the house or that the person is moving in an area where there is a lot of pickpockets," Lars Erlend Leganger from Sparebank 1 Forsikring told NRK.

        Leganger expressed belief in a future where it is forced to share personal information with the insurance companies to get a good price on the insurance, but "this is not necessarily a solution or a goal of how the future's insurance will be."

        "One should respect that not everyone wants to share such information with their insurance companies, but if someone feels like it, I think that companies should face the challenges and get ready with the security services," he said.

        The company, however, has no specific plans to offer such services, and would eventually first assess whether the customers are willing to share that type of information, Leganger explained.

        Catharina Nes, specialist director at the Norwegian Data Protection Authority, warned on necessity to be careful when collecting personal date.

        "When the insurance companies now apply new technology, there are in practice no limits on how much data they can collect from us. Insurers are therefore facing some dilemmas in the future..." she told NRK.

        Nes added that data collection, when being too extensive, may impose restrictions on people's lives.

        "You become more aware of how you behave to get a favorable price. This can of course be good. But it can also mean that people avoid doing completely legitimate things that they would otherwise do. That would be a life in which everyone lives on the narrow path," she said.

        According to Nes, insurance companies must avoid that customers feel pressured to share data to get better and cheaper insurance.

        "Otherwise, we can get a development where those who do not want to be traced get so expensive insurance that they rather choose to save money in bank," she said.

        In a survey conducted by the Norwegian Data Protection Authority , only 13 percent of Norwegians stated that they wanted a development where insurance prices were calculated from detailed sensor information from their everyday lives.

        Editor: yan
        Related News
        Xinhuanet

        AI monitoring can help insurance firms, customers in Norway save money: report

        Source: Xinhua 2018-05-26 02:23:34

        OSLO, May 25 (Xinhua) -- Artificial intelligence (AI) will help both insurance companies and customers in Norway to save money if the latter are willing to share private information, public broadcaster NRK reported Friday.

        Norwegian insurance company Sparebank 1 Forsikring has decided to utilize artificial intelligence in providing insurance. This technology will allow monitoring people who are on holiday.

        The company expects to save millions of dollars only on controlling glass damages, the report said.

        "A customer can be for example notified that a flood is heading towards the house or that the person is moving in an area where there is a lot of pickpockets," Lars Erlend Leganger from Sparebank 1 Forsikring told NRK.

        Leganger expressed belief in a future where it is forced to share personal information with the insurance companies to get a good price on the insurance, but "this is not necessarily a solution or a goal of how the future's insurance will be."

        "One should respect that not everyone wants to share such information with their insurance companies, but if someone feels like it, I think that companies should face the challenges and get ready with the security services," he said.

        The company, however, has no specific plans to offer such services, and would eventually first assess whether the customers are willing to share that type of information, Leganger explained.

        Catharina Nes, specialist director at the Norwegian Data Protection Authority, warned on necessity to be careful when collecting personal date.

        "When the insurance companies now apply new technology, there are in practice no limits on how much data they can collect from us. Insurers are therefore facing some dilemmas in the future..." she told NRK.

        Nes added that data collection, when being too extensive, may impose restrictions on people's lives.

        "You become more aware of how you behave to get a favorable price. This can of course be good. But it can also mean that people avoid doing completely legitimate things that they would otherwise do. That would be a life in which everyone lives on the narrow path," she said.

        According to Nes, insurance companies must avoid that customers feel pressured to share data to get better and cheaper insurance.

        "Otherwise, we can get a development where those who do not want to be traced get so expensive insurance that they rather choose to save money in bank," she said.

        In a survey conducted by the Norwegian Data Protection Authority , only 13 percent of Norwegians stated that they wanted a development where insurance prices were calculated from detailed sensor information from their everyday lives.

        [Editor: huaxia]
        010020070750000000000000011105521372069181
        主站蜘蛛池模板: 国内精品久久久久久久星辰影视 | 国产精品乱战久久久| 欧美激情在线免费| 午夜影院一区| 麻豆视频免费播放| 久久aⅴ国产欧美74aaa| 天干天干天干夜夜爽av| 免费午夜在线视频| 销魂美女一区二区| 日韩av在线中文| 四虎久久精品国产亚洲av| 日本一区二区三区在线视频| 夜夜嗨av禁果av粉嫩av懂色av| 性欧美一区二区| 久久99久久99精品免观看软件| 国产精品v亚洲精品v日韩精品| 电影午夜精品一区二区三区| 亚洲午夜精品一区二区三区| 亚洲va国产2019| bbbbb女女女女女bbbbb国产| 国产影院一区二区| 欧美高清视频一区二区三区| 亚洲精品国产精品国自| 日韩国产精品久久久久久亚洲| 处破大全欧美破苞二十三| 日日狠狠久久8888偷色| 娇妻被又大又粗又长又硬好爽 | 国产91精品高清一区二区三区| 国产1区2区视频| 日本一区二区三区在线视频| 久久九九国产精品| 香蕉av一区| 欧美日韩激情一区| 少妇高潮ⅴideosex| 国产偷久久一区精品69| 综合欧美一区二区三区| 国产女人和拘做受视频免费| 久久久人成影片免费观看| 国产精品久久久久久久久久久不卡| 一区二区三区在线观看国产| 91片在线观看| 中文字幕一区二区三区免费| 中出乱码av亚洲精品久久天堂| 国产精品一区在线播放| 亚洲国产欧美一区二区三区丁香婷| 99国产精品久久久久| 国产精品天堂网| 国产高清精品一区| 亚洲码在线| 亚洲国产精品97久久无色| 国产一区二区伦理片| 亚洲欧美日韩综合在线| 日韩欧美一区精品| 国产精品69av| 91精品啪在线观看国产| 国产视频一区二区不卡| 国产一区在线免费观看| 日韩精品一区二区久久| 国产欧美一区二区三区沐欲| 999久久国精品免费观看网站| 欧美一区二区三区久久精品| 小萝莉av| 欧美系列一区二区| 国产二区精品视频| 欧美精品久| 日韩无遮挡免费视频| 欧美一区亚洲一区| 国产乱子一区二区| 中文字幕一区二区三区四| 午夜电影院理论片做爰| 午夜影院伦理片| 国产精品免费自拍| 国产精品高潮呻吟视频| 亚洲va久久久噜噜噜久久0| 91香蕉一区二区三区在线观看| 国产午夜精品理论片| 欧美资源一区| 午夜影院91| 亚洲精品久久久久999中文字幕 | 日韩精品一区二区亚洲| 高清国产一区二区| 日本午夜精品一区二区三区| 亚洲一区二区国产精品| 欧美极品少妇videossex| 国产一区二区三区小说| 日韩av在线播放网址| 日韩三区三区一区区欧69国产| 欧美精品xxxxx| 欧美日韩中文不卡| 少妇性色午夜淫片aaa播放5| 国产麻豆精品一区二区| 久久人人97超碰婷婷开心情五月| 色一情一乱一乱一区免费网站| 九色国产精品入口| 中文乱码字幕永久永久电影| 国产suv精品一区二区4| 午夜一区二区三区在线观看| 日本高清不卡二区| 国产亚洲精品久久久久久网站| 91一区二区三区视频| 精品一区中文字幕| 91avpro| 国产日韩欧美色图| 欧美精品二区三区| 午夜激情在线播放| 国产精品久久久久久久久久久久久久久久久久 | 免费高潮又黄又色又爽视频| 鲁丝一区二区三区免费观看| 李采潭伦理bd播放| 午夜免费网址| 日韩精品久久久久久中文字幕8| 日本一区二区三区在线视频| 欧美亚洲精品suv一区| 日韩av在线导航| 精品国产乱码久久久久久久| 野花国产精品入口| 午夜特片网| 中文字幕在线乱码不卡二区区| 高清国产一区二区| 午夜肉伦伦影院九七影网| 日韩欧美中文字幕精品| 国模精品免费看久久久| 自拍偷在线精品自拍偷无码专区| 午夜影院试看五分钟| 2020国产精品自拍| 亚洲福利视频二区| 狠狠色丁香久久婷婷综合丁香| 久久99国产视频| 亚洲乱码一区二区| 欧美日韩一区不卡| 欧美乱妇在线观看| 国产欧美一区二区三区免费| 国产欧美一区二区三区在线看| 欧美高清性xxxx| 国产欧美一区二区三区精品观看| 少妇厨房与子伦在线观看| 强制中出し~大桥未久4| 欧美国产精品久久| 午夜影院黄色片| 欧美一区二区三区三州| 色婷婷精品久久二区二区我来| 午夜国内精品a一区二区桃色| 亚洲精品91久久久久久| 国产亚洲另类久久久精品| 午夜欧美a级理论片915影院 | 亚洲制服丝袜在线| 国产一二区在线| 久久精品麻豆| 国产免费一区二区三区网站免费| 国产乱对白刺激视频在线观看| 久久国产精彩视频| 国产精欧美一区二区三区久久| 狠狠色狠狠色很很综合很久久| 国产毛片精品一区二区| 国产一区二区综合| 亚洲神马久久| 国产资源一区二区三区| 午夜剧场一区| 国产日产高清欧美一区二区三区 | 亚洲五码在线| 一区二区三区欧美视频| 日本一区午夜艳熟免费| 96精品国产| 欧美亚洲精品suv一区| 日韩一级在线视频| 国产一区二区三区久久久| 国产一区在线视频观看| 国产精品日产欧美久久久久| 国产一区二区三区精品在线| 香蕉av一区二区三区| 国产午夜亚洲精品| 性夜影院在线观看| 视频二区一区国产精品天天| 999久久国精品免费观看网站| 91亚洲欧美强伦三区麻豆| 色婷婷精品久久二区二区蜜臂av| 国产午夜精品一区二区三区视频| 亚洲乱码一区二区三区三上悠亚 | 日韩一区高清| 19videosex性欧美69| 国产一区在线视频观看| 日韩一级片免费视频| 国产精品美女久久久另类人妖| 欧美精品二区三区| 少妇高潮ⅴideosex| 欧美一级片一区| 日本高清不卡二区| 国产资源一区二区三区| 日本一区二区三区四区高清视频| 欧美二区精品| 免费看大黄毛片全集免费| 在线精品国产一区二区三区| 日本xxxxxxxxx68护士| 草逼视频网站| 狠狠色综合欧美激情| 久久人人精品| 久久91久久久久麻豆精品| 久久99精品久久久秒播| 日韩精品久久一区二区三区| 亚洲第一区国产精品| 久久国产欧美一区二区三区精品| 欧美hdxxxx| 国产jizz18女人高潮| 日韩精品一区二区亚洲| 美女直播一区二区三区| 国产在线视频二区| 91麻豆精品国产91久久久久| 色偷偷一区二区三区| 日本一区二区在线观看视频| 欧美日韩亚洲另类| 国产理论一区二区三区| 神马久久av| 欧美日韩国产欧美| 国产亚洲精品久久久久久网站| 国产乱老一区视频| 国产女人和拘做受在线视频| 国产一区www| 狠狠色狠狠色综合日日2019| 欧美亚洲精品suv一区| 欧美日韩一区免费| 日韩一区高清| 久久久久国产精品免费免费搜索| 自拍偷在线精品自拍偷写真图片| 日韩中文字幕久久久97都市激情| 国产精品日韩高清伦字幕搜索| 久久久中精品2020中文| 精品999久久久| 538国产精品一区二区在线| 国产偷国产偷亚洲清高| 国产伦精品一区二| 国产呻吟久久久久久久92| 挺进警察美妇后菊| 国产日产欧美一区二区| 国产精品九九九九九| 午夜欧美影院| freexxxx性| 日本三级香港三级| 99久久免费毛片基地| 国产极品一区二区三区| 综合色婷婷一区二区亚洲欧美国产 | 国产理论片午午午伦夜理片2021 | 久久夜靖品2区| 毛片大全免费看| 久久天天躁夜夜躁狠狠躁2022| 久久er精品视频| 国产91视频一区二区|