{"id":13301,"date":"2022-05-12T14:05:18","date_gmt":"2022-05-12T12:05:18","guid":{"rendered":"https:\/\/insiders-technologies.com\/staging\/?p=13301"},"modified":"2022-05-16T14:16:06","modified_gmt":"2022-05-16T12:16:06","slug":"cognitive-classifier-debeka","status":"publish","type":"post","link":"https:\/\/insiders.next-kmu.de\/en\/cognitive-classifier-debeka\/","title":{"rendered":"Insiders &amp; Debeka: Cognitive Clas\u00adsi\u00adfi\u00adca\u00adtion with Deep Learning"},"content":{"rendered":"<p>[et_pb_section fb_built=\u201e1\u201c _builder_version=\u201e3.22\u201c custom_padding=\u201e0px||0px||true\u201c global_colors_info=\u201c{}\u201c][et_pb_row _builder_version=\u201e3.25\u201c custom_padding=\u201c||0px|\u201c global_colors_info=\u201c{}\u201c][et_pb_column type=\u201e4_4\u201c _builder_version=\u201e3.25\u201c custom_padding=\u201c|||\u201c global_colors_info=\u201c{}\u201c custom_padding__hover=\u201c|||\u201c][et_pb_post_title author=\u201eoff\u201c categories=\u201eoff\u201c comments=\u201eoff\u201c _builder_version=\u201e4.10.6\u201c _module_preset=\u201edefault\u201c title_font=\u201eMontserrat|800|||||||\u201c global_colors_info=\u201c{}\u201c][\/et_pb_post_title][et_pb_text _builder_version=\u201e4.10.6\u201c header_font=\u201c|700|||||||\u201c module_alignment=\u201ecenter\u201c saved_tabs=\u201eall\u201c locked=\u201eoff\u201c global_colors_info=\u201c{}\u201c]<strong>Together with our customer Debeka, we report on the pro\u00adces\u00adsing of image-based documents in input manage\u00adment with a new method at the spe\u00adcia\u00adlist con\u00adfe\u00adrence \u201eAI and self-learning systems in insurance companies\u201c of the Ver\u00adsi\u00adche\u00adrungs\u00adforen Leipzig. For the first time, image- and text-based clas\u00adsi\u00adfiers were combined in an inte\u00adgrated approach. The results are impres\u00adsive and take the insurance group\u2019s input manage\u00adment to a new level.<\/strong><\/p>\n<p>Under the title \u201eCognitive Clas\u00adsi\u00adfi\u00adca\u00adtion \u2013 Automated Image Reco\u00adgni\u00adtion with Deep Learning Tech\u00adno\u00adlo\u00adgies\u201c, we will present the joint project at the con\u00adfe\u00adrence. For many years, Debeka has been using Insiders Tech\u00adno\u00adlo\u00adgies\u2018 solutions very suc\u00adcessfully for division sepa\u00adra\u00adtion, clas\u00adsi\u00adfi\u00adca\u00adtion and pro\u00adces\u00adsing of incoming documents. <\/p>\n<p>However, the correct reco\u00adgni\u00adtion of image-based incoming documents such as ID cards, cer\u00adti\u00adfi\u00adcates or photos of accident damage or real estate proved to be difficult or even impos\u00adsible for the purely text-based clas\u00adsi\u00adfiers. Con\u00adse\u00adquently, some of these document classes had to be clas\u00adsi\u00adfied com\u00adple\u00adtely manually until now. This gave rise to the idea of extending the classic clas\u00adsi\u00adfier to include image clas\u00adsi\u00adfi\u00adca\u00adtion using Deep Learning. The new Cognitive Clas\u00adsi\u00adfier from Insiders combines the two clas\u00adsi\u00adfi\u00adca\u00adtion methods of text and image reco\u00adgni\u00adtion intel\u00adli\u00adgently and seam\u00adlessly. <\/p>\n<blockquote><p>\u201eTogether with our partner Insiders Tech\u00adno\u00adlo\u00adgies, we have imple\u00admented an AI solution in a real use case that is abso\u00adlutely in tune with the times.\u201c<\/p><\/blockquote>\n<p>explains Marc Drewing, Group Head of Input Manage\u00adment at Debeka Ver\u00adsi\u00adche\u00adrungs\u00adverein a.G.. \u201eWe can now use our proven processes even more effec\u00adtively and further increase the level of auto\u00adma\u00adtion.\u201c<\/p>\n<p>The Cognitive Clas\u00adsi\u00adfier provides an enormous auto\u00adma\u00adtion effect at Debeka: In the Home Loan and Savings division, where most images accu\u00admu\u00adlate, the re-entry rate is now less than 16 percent. <\/p>\n<p>\u201eThe Cognitive Clas\u00adsi\u00adfier now provides a universal solution for the clas\u00adsi\u00adfi\u00adca\u00adtion of documents and photos that puts all existing approa\u00adches to shame,\u201c adds Christian Bokelmann, aut\u00adho\u00adrized signatory and head of Key Account Manage\u00adment at Insiders Tech\u00adno\u00adlo\u00adgies. \u201eThe project is already gene\u00adra\u00adting a great deal of interest in the industry.\u201c<\/p>\n<p>The Ver\u00adsi\u00adche\u00adrungs\u00adforen Leipzig GmbH face-to-face event will present reports and practical appli\u00adca\u00adtion examples from insurance companies and beyond on the topics of AI, self-learning systems, machine learning, automated decision-making and Explainable AI on May 17 and 18, 2022 in Leipzig. It is aimed at spe\u00adcia\u00adlists and managers from the central and decen\u00adtra\u00adlized areas of insurance companies, par\u00adti\u00adcu\u00adlarly in the depart\u00adments of IT, process manage\u00adment, ope\u00adra\u00adtional orga\u00adniza\u00adtion, data manage\u00adment, sales and marketing, and claims.[\/et_pb_text][et_pb_button button_url=\u201ehttps:\/\/www.versicherungsforen.net\/veranstaltungen\/fachkonferenz-ki-und-selbstlernende-systeme-2022\u201c url_new_window=\u201eon\u201c button_text=\u201eRegister for free\u201c _builder_version=\u201e4.10.6\u201c _module_preset=\u201edefault\u201c custom_button=\u201eon\u201c button_font=\u201c|700|||||||\u201c global_colors_info=\u201c{}\u201c][\/et_pb_button][et_pb_divider color=\u201e#f2f2f2\u201c _builder_version=\u201e3.10.2\u201c global_colors_info=\u201c{}\u201c][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Together with our customer Debeka, we report on the pro\u00adces\u00adsing of image-based documents in input manage\u00adment with a new method at the spe\u00adcia\u00adlist con\u00adfe\u00adrence \u201eAI and self-learning systems in insurance companies\u201c of the Ver\u00adsi\u00adche\u00adrungs\u00adforen Leipzig. For the first time, image- and text-based clas\u00adsi\u00adfiers were combined in an inte\u00adgrated approach. The results are impres\u00adsive and take [\u2026]<\/p>\n","protected":false},"author":20,"featured_media":13309,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","wp_typography_post_enhancements_disabled":false,"_mbp_gutenberg_autopost":false,"footnotes":""},"categories":[1,2,109],"tags":[],"class_list":["post-13301","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allgemein","category-blog-en","category-featured"],"acf":[],"_links":{"self":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/13301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/comments?post=13301"}],"version-history":[{"count":0,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/posts\/13301\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media\/13309"}],"wp:attachment":[{"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/media?parent=13301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/categories?post=13301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insiders.next-kmu.de\/en\/wp-json\/wp\/v2\/tags?post=13301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}