{"id":39546,"date":"2026-09-25T08:59:45","date_gmt":"2026-09-25T08:59:45","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=39546"},"modified":"2026-09-25T08:59:45","modified_gmt":"2026-09-25T08:59:45","slug":"tisi-launches-ai-powered-shenron-modernization-service","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/tech\/computing\/tisi-launches-ai-powered-shenron-modernization-service\/","title":{"rendered":"TISI\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u300cShenron\u300d\u8fd1\u4ee3\u5316\u30b5\u30fc\u30d3\u30b9\u3092\u958b\u59cb\u3057\u305f"},"content":{"rendered":"<?xml encoding=\"utf-8\" ?><p><a href=\"https:\/\/www.tisi.jp\/\" data-no-translation=\"\">TISI<\/a> has launched a service called Xenlon &ndash; Shenron Modernization Service. This service uses intelligence to make maintenance operations smoother. It also helps to lower the dependence on the skills of employees. Xenlon &ndash; Shenron Modernization Service is aimed at organizations where maintenance procedures and operational knowledge have always relied heavily on workers.<\/p><p>The solution uses intelligence to sort and use maintenance&#8209;related information. This makes operational knowledge easier for workers to access. By helping to analyze and manage the data that has been collected over time the service aims to make routine processes more consistent. It also seeks to lessen the effects of knowledge gaps that happen when employees transfer, retire or when the workforce changes.<\/p><p>A major challenge for industrial organizations is the transfer of tacit knowledge. Maintenance know&#8209;how is usually built over years and may not be fully written down. When skilled workers leave companies can struggle to keep equipment running. They also find it hard to train employees.<\/p><h4>\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a <a class=\"p-url\" href=\"https:\/\/itbusinesstoday.com\/ja\/tech\/computing\/cognition-aws-partner-to-accelerate-software-development\/\" rel=\"bookmark\">Cognition\u3068AWS\u304c\u63d0\u643a\u3057\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u3092\u52a0\u901f\u3055\u305b\u308b<\/a><\/h4><p>TISI&rsquo;s initiative shows a trend toward AI&#8209;assisted industrial maintenance. In this trend companies mix data with artificial intelligence to help technicians and to standardize workflows. These systems do not replace maintenance personnel. Instead they give employees access, to relevant information. They also help employees make decisions that rely on the knowledge that has been built up inside the organization.<\/p><p>The launch happens while manufacturers and infrastructure operators deal with aging equipment. They are also facing labor shortages and growing pressure to keep operations running. AI&#8209;based knowledge management may become an important tool. It can preserve expertise. Boost maintenance efficiency in many industrial settings.<\/p><p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>TISI has launched a service called Xenlon &ndash; Shenron Modernization Service. This service uses intelligence to make maintenance operations smoother. It also helps to lower the dependence on the skills of employees. Xenlon &ndash; Shenron Modernization Service is aimed at organizations where maintenance procedures and operational knowledge have always relied heavily on workers.The solution uses intelligence to sort and use maintenance&#8209;related information. This makes operational knowledge easier for workers to access. By helping to analyze and manage the data that has been collected over time the service aims to make routine processes more consistent. It also seeks to lessen the effects of knowledge gaps that happen when employees transfer, retire [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":39582,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[208,215,211,237,1838,206,85],"tags":[1217,15879,15880,15611,15881],"ppma_author":[572],"class_list":["post-39546","post","type-post","status-publish","format-standard","has-post-thumbnail","category-apac","category-computing","category-japan","category-news","category-quick-reads","category-regional","category-tech","tag-ai-powered","tag-modernization-service","tag-shenron","tag-tisi","tag-xenlon"],"yoast_head":"<!-- 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