{"id":2963,"date":"2021-10-13T13:01:07","date_gmt":"2021-10-13T07:31:07","guid":{"rendered":"https:\/\/www.datalabelify.com\/?p=2963"},"modified":"2023-11-03T11:47:19","modified_gmt":"2023-11-03T06:17:19","slug":"data-annotation-in-insurance","status":"publish","type":"post","link":"https:\/\/www.datalabelify.com\/da\/ai-data-annotering-og-forsikringsbranchen\/","title":{"rendered":"AI, Data Annotation og forsikringsbranchen"},"content":{"rendered":"
AI, Data Annotation og forsikringsbranchen<\/em><\/h5>\n

Computer vision-baserede AI-modeller<\/a> er i f\u00e6rd med at revolutionere alle dele af verdens\u00f8konomien. Teknologien forventes at automatisere en r\u00e6kke tjenester og processer, som vil f\u00f8re til betydelige omkostningsbesparelser og tidsbesparelser. Forsikring er blandt de sektorer, der bedst kan drage fordel af maskinsyn. Automatiserede systemer kan transformere den m\u00e5de, krav og aktiver analyseres p\u00e5. Men ligesom alle tilf\u00e6lde af computervision vil ydeevnen for forsikrings-AI-projekter afh\u00e6nge af tilg\u00e6ngeligheden af fremragende video- og tr\u00e6ningsbilleder. De virksomheder, der opretter og redigerer tr\u00e6ningsdata p\u00e5 egen h\u00e5nd, st\u00e5r over for en overv\u00e6ldende opgave. Mange brancheledere v\u00e6lger at outsource annotering til dygtige tjenesteudbydere s\u00e5som Labelify.<\/p>\n

Denne blog vil udforske det sp\u00e6ndende potentiale ved AI i forsikringsbranchen. Det vil ogs\u00e5 demonstrere, hvordan dataannotering kan hj\u00e6lpe med udviklingen af kunstig intelligens i fremtiden.<\/p>\n

Automatiserede vurderinger<\/h3>\n

Vurderinger af forsikringer samt vurderinger af formuev\u00e6rdi og forsikringsskader kr\u00e6ver en enorm indsats og erfaring for at blive udf\u00f8rt af mennesker. Den manuelle proces med at vurdere en ejendoms v\u00e6rdi vil kr\u00e6ve, at mennesket g\u00e5r til stedet og unders\u00f8ger ejendommens helhed. AI kan delvist automatisere og fremskynde processen betydeligt. Nogle af de specifikke applikationer for denne teknologi er:<\/p>\n

Brug af satellitbilleder til at evaluere ejendommens forsikringsd\u00e6kning: AI modeller<\/a> kan bruge billeder til pr\u00e6cist at beregne det samlede areal af en ejendom. De er ogs\u00e5 i stand til at bestemme, hvilke materialer strukturen er lavet af, n\u00e6rheden til vand eller tr\u00e6er samt et utal af andre variabler, der p\u00e5virker ejendommens risikoprofil.<\/p>\n

Unders\u00f8gelse og behandling af forsikringskrav Computervisionssystemer er i stand til at se billeder af ting som f\u00f8lgerne af en bilulykke og hurtigt lave skadeestimater. Den \u00f8jeblikkelige behandling af skader vil markant effektivisere forsikringsselskabernes arbejde med store skalaer og mindske risikoen for fejl.<\/p>\n

Drevet af annotering<\/h3>\n

For at tillade, at denne teknologi udnyttes fuldt ud til forsikringspotentialet, skal AI-udviklere give deres maskinl\u00e6ringsalgoritmer p\u00e5lidelig og forskelligartet information. Systemerne skal genkende og analysere forskellige scenarier og objekter i uendeligt komplekse milj\u00f8er i den virkelige verden. At lave tr\u00e6ningsdatas\u00e6t, der afspejler dette kompleksitetsniveau, kan v\u00e6re overv\u00e6ldende for mange virksomheders f\u00f8rende forskere, hvilket f\u00e5r dem til at glemme deres prim\u00e6re m\u00e5l. Brug af professionelle annoteringstjenester kan give flere fordele for forsikrings-AI-innovatorer:<\/p>\n

Oprettelse og indsamling af data For at bygge p\u00e5lidelige AI-operativsystemer kr\u00e6ver virksomheder adgang til en r\u00e6kke forskellige data. Imidlertid er de relevante data ofte vanskelige at finde i open source-arkiver eller gennem web-skrabning. Professionelle annoteringstjenester kan f\u00e5 adgang til de mest avancerede dataindsamlingsv\u00e6rkt\u00f8jer, der er tilg\u00e6ngelige, og endda udvikle brugerdefinerede datas\u00e6t ved hj\u00e6lp af interne studier.<\/p>\n

Annoteringsv\u00e6rkt\u00f8jer: N\u00f8jagtigheden af annoteringen af billeder er afg\u00f8rende for effektiviteten af modeller i slutningen. Outsourcingen af disse tjenester giver virksomheder adgang til en annotationsplatform, der er propriet\u00e6r. Disse v\u00e6rkt\u00f8jer s\u00f8rger for, at forskellige annoteringsteknikker implementeres pr\u00e6cist. Projektstyringssystemer indbygget i softwaren vil ogs\u00e5 sikre, at m\u00e6rkningsprocessen udf\u00f8res effektivt.<\/p>\n

Administrerede teams Professionelle annoteringsvirksomheder, s\u00e5som Labelify, bruger deres teams af annotationseksperter til at garantere datas\u00e6t af h\u00f8j kvalitet. Annoteringsopgaver kan styres af dygtige ledere, hvilket fjerner byrden for AI-virksomheder. Teams af operat\u00f8rer, der er centralt placeret, er ogs\u00e5 i stand til at reagere hurtigt p\u00e5 \u00e6ndringer i datakrav og p\u00e5 fejlfinding.<\/p>\n

Tjenester til annotering af Insurance AI<\/span><\/h3>\n

Labelify er en f\u00f8rende leverand\u00f8r af h\u00f8jkvalitets annotationstjenester. Gennem kombinationen af avanceret teknologi med et eksperthold af annotationsspecialister kan Labelify levere tr\u00e6ningsdata, der forbedrer AI-projekter. Kontakt et af vores teammedlemmer for at arrangere en personlig demonstration nu.<\/p>\n

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AI, Data Annotation, and the Insurance Industry Computer vision-based AI models are in the process of revolutionizing every part in the world economy. The technology is expected to automate a range of services and processes which will lead to significant cost savings and time savings. Insurance is among the sectors that can best benefit from […]<\/p>","protected":false},"author":3,"featured_media":14334,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-annotation"],"blocksy_meta":[],"featured_image_urls":{"full":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance.jpg",2240,1260,false],"thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-150x150.jpg",150,150,true],"medium":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-300x169.jpg",300,169,true],"medium_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-768x432.jpg",768,432,true],"large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-1024x576.jpg",1024,576,true],"1536x1536":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-1536x864.jpg",1536,864,true],"2048x2048":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-2048x1152.jpg",2048,1152,true],"trp-custom-language-flag":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-18x10.jpg",18,10,true],"ultp_layout_landscape_large":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-1200x800.jpg",1200,800,true],"ultp_layout_landscape":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-870x570.jpg",870,570,true],"ultp_layout_portrait":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-600x900.jpg",600,900,true],"ultp_layout_square":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-600x600.jpg",600,600,true],"yarpp-thumbnail":["https:\/\/www.datalabelify.com\/wp-content\/uploads\/2021\/10\/Data-Annotation-in-insurance-120x120.jpg",120,120,true]},"post_excerpt_stackable":"

AI, Data Annotation, and the Insurance Industry Computer vision-based AI models are in the process of revolutionizing every part in the world economy. The technology is expected to automate a range of services and processes which will lead to significant cost savings and time savings. Insurance is among the sectors that can best benefit from machine vision. Automated systems can transform the way claims and assets are analyzed. But, like all instances of computer vision the performance for insurance AI projects will depend on the availability of excellent video and training images. The companies that create and edit training data…<\/p>\n","category_list":"Data Annotation<\/a>","author_info":{"name":"Parth P","url":"https:\/\/www.datalabelify.com\/da\/author\/soeuidhae\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/posts\/2963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/comments?post=2963"}],"version-history":[{"count":2,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/posts\/2963\/revisions"}],"predecessor-version":[{"id":3095,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/posts\/2963\/revisions\/3095"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/media\/14334"}],"wp:attachment":[{"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/media?parent=2963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/categories?post=2963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.datalabelify.com\/da\/wp-json\/wp\/v2\/tags?post=2963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}