{"id":8710,"date":"2026-09-22T13:36:16","date_gmt":"2026-09-22T11:36:16","guid":{"rendered":"https:\/\/peerox.de\/presse\/ai-without-a-chatbot-knowledge-management-for-breweries\/"},"modified":"2026-10-13T15:42:51","modified_gmt":"2026-10-13T13:42:51","slug":"ai-without-a-chatbot-knowledge-management-for-breweries","status":"publish","type":"pressemitteilung","link":"https:\/\/peerox.de\/en\/presse\/ai-without-a-chatbot-knowledge-management-for-breweries\/","title":{"rendered":"AI without a chatbot: Knowledge management for breweries"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/brauwelt.com\/de\/themen\/abfuellung\/649701-ki-ohne-chatbot-wissensmanagement-f%C3%BCr-brauereien\" target=\"_blank\" rel=\"noopener\">In the trade journal BRAUWELT<\/a> (No. 18, 2026), our co-founder and CTO Markus Windisch explains how breweries can make targeted use of their workforce\u2019s experiential knowledge in the face of declining beer sales and rising cost pressure. The article highlights the knowledge gap between experienced and inexperienced operators and explains why traditional knowledge bases and pure LLM chatbots often reach their limits in production. The focus is on MADDOX\u2019s learning search algorithm, which evaluates machine data in real time and proactively suggests suitable solutions in the event of disruptions. Finally, the article shows how machine learning and language models can complement each other effectively in knowledge management.    <a href=\"https:\/\/brauwelt.com\/de\/themen\/abfuellung\/649701-ki-ohne-chatbot-wissensmanagement-f%C3%BCr-brauereien\" target=\"_blank\" rel=\"noopener\">Read now.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the trade journal BRAUWELT (No. 18, 2026), our co-founder and CTO Markus Windisch explains how breweries can make targeted use of their workforce\u2019s experiential knowledge in the face of declining beer sales and rising cost pressure. The article highlights the knowledge gap between experienced and inexperienced operators and explains why traditional knowledge bases and [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":8617,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"presse-kategorie":[48],"class_list":["post-8710","pressemitteilung","type-pressemitteilung","status-publish","format-standard","has-post-thumbnail","hentry","presse-kategorie-article"],"acf":[],"_links":{"self":[{"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/pressemitteilung\/8710","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/pressemitteilung"}],"about":[{"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/types\/pressemitteilung"}],"author":[{"embeddable":true,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/comments?post=8710"}],"version-history":[{"count":1,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/pressemitteilung\/8710\/revisions"}],"predecessor-version":[{"id":8711,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/pressemitteilung\/8710\/revisions\/8711"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/media\/8617"}],"wp:attachment":[{"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/media?parent=8710"}],"wp:term":[{"taxonomy":"presse-kategorie","embeddable":true,"href":"https:\/\/peerox.de\/en\/wp-json\/wp\/v2\/presse-kategorie?post=8710"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}