{"id":5164,"date":"2024-03-09T09:32:45","date_gmt":"2024-03-09T01:32:45","guid":{"rendered":"https:\/\/www.1ai.net\/?p=5164"},"modified":"2024-03-09T09:32:45","modified_gmt":"2024-03-09T01:32:45","slug":"%e7%99%be%e5%ba%a6%e6%99%ba%e8%83%bd%e4%ba%91%e4%bc%81%e4%b8%9a%e7%9f%a5%e8%af%86%e7%ae%a1%e7%90%86%e5%b9%b3%e5%8f%b0%e7%94%84%e7%9f%a5%e9%80%9a%e8%bf%87%e4%bf%a1%e9%80%9a%e9%99%a2","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/5164.html","title":{"rendered":"Baidu Intelligent Cloud Enterprise Knowledge Management Platform \"Zhenzhi\" passed the China Information and Communications Technology Center Big Model Special Assessment"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%99%be%e5%ba%a6\" title=\"[Sees articles containing [100 degrees] labels]\" target=\"_blank\" rel=\"noopener\">Baidu<\/a>announced that Baidu Intelligent Cloud's<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%bc%81%e4%b8%9a%e7%9f%a5%e8%af%86%e7%ae%a1%e7%90%86%e5%b9%b3%e5%8f%b0\" title=\"[See articles with labels on [Enterprise Knowledge Management Platform]]\" target=\"_blank\" rel=\"noopener\">Enterprise Knowledge Management Platform<\/a> \u201c..<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%94%84%e7%9f%a5\" title=\"[Sees articles with [an understanding] label]\" target=\"_blank\" rel=\"noopener\">Zhenzhi<\/a>Become the industry's first<span class=\"spamTxt\">the first<\/span>Through the China Information and Communications Technology Center (CICT)<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [large models]]\" target=\"_blank\" rel=\"noopener\">Big Model<\/a>product for the KM-specific assessment. Zhenzhi received an excellent rating (4+) and was also the highest grade in this assessment.<span class=\"spamTxt\">If the rate of growth continues<\/span>The assessment involves 3 capability domains, including data processing, knowledge extraction, knowledge fusion, knowledge reasoning, knowledge modeling, and knowledge base automatic construction, covering intelligent applications such as intelligent search, intelligent Q&amp;A, and intelligent generation.<\/p>\n<p>Zhenzhi has achieved industry-leading ratings (4+) in the three dimensions of knowledge construction, knowledge calculation, and knowledge application, with excellent performance and functionality. Based on the big model platform, the product comprehensively reconstructs the entire chain of enterprise knowledge production, processing, organization, distribution, and application, providing dialogic search, dialogic reading, and dialogic creation as knowledge service modes, expanding the traditional knowledge service boundaries, meeting the needs of enterprise knowledge creation, acquisition, and application, and assisting enterprises in their digital transformation and intelligent upgrading.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-5165\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/03\/6384550878485659037403824.jpg\" alt=\"\" width=\"1000\" height=\"497\" \/><\/p>\n<p>Zenith has been scaled up in energy, finance, water conservancy, government affairs, and automobile industries, providing customers with solutions that can improve the efficiency of operation and management. In scenarios such as power standard knowledge management, financial customer service knowledge management, and water conservancy plan knowledge management, Zenith has improved related business efficiency by mining, precipitating, sharing, and applying knowledge through big model capabilities.<\/p>\n<p>The knowledge computing assessment by the China Academy of Information and Communications Technology (CAICT) covers the areas of knowledge mapping, intelligent knowledge base, enterprise knowledge management, and knowledge management based on big models, etc., and Zhenzhi has passed the 'Big Model + Knowledge Management Specialization' assessment.<\/p>\n<p>In the future, Baidu Intelligent Cloud will continue to empower enterprise knowledge management based on big model capabilities, create immersive work scenarios and business models, enhance employee work experience, stimulate employees' enthusiasm for knowledge creation, and achieve the transformation and learning of digital employees.<\/p>\n<p><strong>Experience address:<\/strong>https:\/\/zhenzhi.cloud.baidu.com\/<\/p>","protected":false},"excerpt":{"rendered":"<p>Baidu announced that Zhenzhi, the enterprise knowledge management platform under Baidu Intelligent Cloud, has become the first product in the industry to pass the China Academy of Information and Communications Technology (CAICT)'s special assessment of knowledge management based on a large model. Zhenzhi received a rating of Excellent (4+), the highest rating in the assessment. The assessment involves three capability domains, including data processing, knowledge extraction, knowledge fusion, knowledge reasoning, knowledge modeling, automatic construction of knowledge base and other processes, covering intelligent applications such as intelligent search, intelligent Q&amp;A and intelligent generation. Zhenzhi has achieved industry-leading scores (4+) in the three dimensions of knowledge construction, knowledge calculation and knowledge application, with excellent performance and functionality. Based on the big model platform, the product comprehensively reconstructs the whole chain of production, processing, organization, distribution and application of enterprise knowledge, and provides conversational search, conversational Q&amp;A and other intelligent applications.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[1578,216,1577,234],"collection":[],"class_list":["post-5164","post","type-post","status-publish","format-standard","hentry","category-news","tag-1578","tag-216","tag-1577","tag-234"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/5164","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=5164"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/5164\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=5164"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=5164"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=5164"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=5164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}