{"id":29943,"date":"2024-09-19T14:46:00","date_gmt":"2024-09-19T12:46:00","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=20328"},"modified":"2024-11-08T08:57:19","modified_gmt":"2024-11-08T07:57:19","slug":"zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten","status":"publish","type":"post","link":"https:\/\/www.organisator.ch\/it\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/","title":{"rendered":"I ricercatori della ZHAW sviluppano una soluzione di intelligenza artificiale per la pulizia dei dati delle macchine"},"content":{"rendered":"<figure id=\"attachment_20330\" class=\"wp-caption alignnone\" style=\"width: 680px\" aria-describedby=\"caption-attachment-20330\"><img class=\"alignnone wp-image-20330 size-full\" src=\"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg\" alt=\"Rilevamento delle anomalie dell&#039;intelligenza artificiale \" width=\"680\" height=\"263\" \/>\r\n<figcaption id=\"caption-attachment-20330\" class=\"wp-caption-text\">Esempi di sistemi con rilevamento dei guasti basato sull'intelligenza artificiale. (Immagine: www.zhaw.ch)<\/figcaption>\r\n<\/figure>\r\n<p>Il riconoscimento di modelli insoliti o anomali nei dati industriali \u00e8 uno dei compiti pi\u00f9 comuni degli algoritmi di intelligenza artificiale nelle applicazioni commerciali. Consente di individuare precocemente degrado, difetti ed errori di produzione e di correggere tempestivamente questi problemi, risparmiando cos\u00ec sui costi e riducendo i tempi di fermo.\u00a0<\/p>\r\n<p>Il rilevamento delle anomalie nelle macchine si basa solitamente sull'\"apprendimento dalla normalit\u00e0\". Ci\u00f2 significa che gli algoritmi di IA vengono addestrati utilizzando i dati di macchine perfettamente funzionanti per riconoscere successivamente le deviazioni nei dati operativi. In pratica, per\u00f2, spesso non sono disponibili dati completamente privi di errori, il che compromette notevolmente l'efficacia dei modelli. L'addestramento con dati contaminati significa che i modelli non sono pi\u00f9 in grado di distinguere tra condizioni operative normali e difettose: una sfida che la ricerca non \u00e8 quasi mai riuscita a risolvere.<\/p>\r\n<h3><strong>Utilizzo di algoritmi di IA senza intervento umano<\/strong><\/h3>\r\n<p>\"Grazie alla collaborazione con diverse aziende, ci siamo resi conto della necessit\u00e0 di algoritmi di intelligenza artificiale che possano essere utilizzati direttamente per l'etichettatura dei dati senza alcun intervento umano\", spiega la dott.ssa Lilach Goren Huber del team Smart Maintenance dell'Istituto ZHAW per l'analisi dei dati e la progettazione dei processi (IDP).\u00a0<\/p>\r\n<h3><strong>Un nuovo quadro per il raffinamento dei dati non supervisionati<\/strong><\/h3>\r\n<p>Per colmare questa lacuna, i ricercatori di ZHAW hanno sviluppato un nuovo framework che analizza automaticamente i dati storici potenzialmente contaminati ed estrae campioni di dati normalmente funzionanti in modo completamente non supervisionato. In questo modo, i dati puliti possono essere utilizzati per addestrare gli algoritmi di rilevamento delle anomalie senza dover ricorrere a un lungo lavoro di selezione manuale.<\/p>\r\n<h3><strong>Concetto semplice, effetto potente<\/strong><\/h3>\r\n<p>Il framework si basa su un'osservazione centrale: i campioni di dati errati hanno un'influenza maggiore sulle prestazioni dei modelli di intelligenza artificiale rispetto ai campioni normali. In base a questo principio, a ogni campione di dati viene assegnato un punteggio che misura la sua influenza sulla formazione. I campioni con un punteggio elevato vengono identificati come potenzialmente errati e rimossi dai dati di addestramento. Nei test, il framework ha ottenuto prestazioni paragonabili a quelle dei set di dati puliti manualmente con questi dati raffinati.<\/p>\r\n<h3><strong>Applicazione e prospettive di successo<\/strong><\/h3>\r\n<p>La ZHAW ha testato il metodo su diversi tipi di macchine, tra cui pompe, valvole, ventole e motori, ottenendo risultati promettenti. Nella maggior parte dei casi, il framework \u00e8 stato in grado di compensare completamente la mancanza di dati di addestramento privi di errori. \"Il nostro approccio non \u00e8 solo semplice e robusto, ma anche universalmente applicabile. Pu\u00f2 essere combinato con qualsiasi tipo di dati e con i metodi di rilevamento dei guasti esistenti\", spiega la dottoressa Lilach Goren Huber.<\/p>\r\n<p><em>Fonte: <a href=\"http:\/\/www.zhaw.ch\/\">www.zhaw.ch<\/a><\/em><\/p>\n<p class=\"syndicated-attribution\">Questo articolo \u00e8 apparso originariamente su m-q.ch - <a href=\"https:\/\/www.m-q.ch\/de\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/\" target=\"_blank\">https:\/\/www.m-q.ch\/de\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>I ricercatori della ZHAW School of Engineering hanno sviluppato un framework innovativo che riconosce in modo pi\u00f9 efficiente anomalie e difetti nelle macchine, anche quando i dati di addestramento sono contaminati. Questo sviluppo affronta una sfida centrale nella ricerca sull'IA: il rilevamento preciso degli errori senza poter contare su dati di addestramento privi di errori.<\/p>","protected":false},"author":58,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"KI Anomalieerkennung","_yoast_wpseo_metadesc":"ZHAW entwickelt Framework zur automatischen Datenverfeinerung und Anomalieerkennung in industriellen Daten ohne manuelle Eingriffe.","articlekey":"","footnotes":""},"categories":[582],"tags":[4518,298,4519,605,492],"class_list":["post-29943","post","type-post","status-publish","format-standard","hentry","category-operational-excellence","tag-forschende","tag-ki","tag-maschinendaten","tag-qualitaetsmanagement","tag-unternehmen"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten - Organisator<\/title>\n<meta name=\"description\" content=\"ZHAW entwickelt Framework zur automatischen Datenverfeinerung und Anomalieerkennung in industriellen Daten ohne manuelle Eingriffe.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.organisator.ch\/it\/eccellenza-operativa\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten - Organisator\" \/>\n<meta property=\"og:description\" content=\"ZHAW entwickelt Framework zur automatischen Datenverfeinerung und Anomalieerkennung in industriellen Daten ohne manuelle Eingriffe.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.organisator.ch\/it\/eccellenza-operativa\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/\" \/>\n<meta property=\"og:site_name\" content=\"Organisator\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/OrganisatorFachmagazin\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-19T12:46:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-08T07:57:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg\" \/>\n<meta name=\"author\" content=\"Adelisa Kalajdzini\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/\"},\"author\":{\"name\":\"Adelisa Kalajdzini\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#\\\/schema\\\/person\\\/2e1314a2172123f874db408d8911d3f3\"},\"headline\":\"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten\",\"datePublished\":\"2024-09-19T12:46:00+00:00\",\"dateModified\":\"2024-11-08T07:57:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/\"},\"wordCount\":428,\"publisher\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.m-q.ch\\\/wp-content\\\/uploads\\\/2024\\\/09\\\/Zhaw_Bild1_ps.jpg\",\"keywords\":[\"Forschende\",\"KI\",\"Maschinendaten\",\"Qualit\u00e4tsmanagement\",\"Unternehmen\"],\"articleSection\":[\"OPERATIONAL EXCELLENCE\"],\"inLanguage\":\"it-IT\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/\",\"url\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/\",\"name\":\"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten - Organisator\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.m-q.ch\\\/wp-content\\\/uploads\\\/2024\\\/09\\\/Zhaw_Bild1_ps.jpg\",\"datePublished\":\"2024-09-19T12:46:00+00:00\",\"dateModified\":\"2024-11-08T07:57:19+00:00\",\"description\":\"ZHAW entwickelt Framework zur automatischen Datenverfeinerung und Anomalieerkennung in industriellen Daten ohne manuelle Eingriffe.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.m-q.ch\\\/wp-content\\\/uploads\\\/2024\\\/09\\\/Zhaw_Bild1_ps.jpg\",\"contentUrl\":\"https:\\\/\\\/www.m-q.ch\\\/wp-content\\\/uploads\\\/2024\\\/09\\\/Zhaw_Bild1_ps.jpg\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/operational-excellence\\\/2024-09-19\\\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.organisator.ch\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#website\",\"url\":\"https:\\\/\\\/www.organisator.ch\\\/\",\"name\":\"Organisator\",\"description\":\"Kompetent. Praxisnah. Der ORGANISATOR bereitet in 10 Ausgaben pro Jahr die wesentlichen Themen f\u00fcr F\u00fchrungskr\u00e4fte von KMU auf.\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.organisator.ch\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#organization\",\"name\":\"Organisator\",\"url\":\"https:\\\/\\\/www.organisator.ch\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.organisator.ch\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Logo_Organisator_Website.png\",\"contentUrl\":\"https:\\\/\\\/www.organisator.ch\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Logo_Organisator_Website.png\",\"width\":800,\"height\":77,\"caption\":\"Organisator\"},\"image\":{\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/OrganisatorFachmagazin\",\"https:\\\/\\\/www.linkedin.com\\\/showcase\\\/organisator-das-magazin-fr-kmu\",\"https:\\\/\\\/www.xing.com\\\/news\\\/pages\\\/organisator-ch-695\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCGP2Sq0iWaZwT3BdIAQFYpw\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.organisator.ch\\\/#\\\/schema\\\/person\\\/2e1314a2172123f874db408d8911d3f3\",\"name\":\"Adelisa Kalajdzini\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g\",\"caption\":\"Adelisa Kalajdzini\"},\"url\":\"https:\\\/\\\/www.organisator.ch\\\/it\\\/author\\\/adelisa-kalajdzini\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"I ricercatori della ZHAW sviluppano una soluzione di intelligenza artificiale per la pulizia dei dati delle macchine - Organizzatore","description":"ZHAW sviluppa un framework per il raffinamento automatico dei dati e il rilevamento delle anomalie nei dati industriali senza intervento manuale.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.organisator.ch\/it\/eccellenza-operativa\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/","og_locale":"it_IT","og_type":"article","og_title":"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten - Organisator","og_description":"ZHAW entwickelt Framework zur automatischen Datenverfeinerung und Anomalieerkennung in industriellen Daten ohne manuelle Eingriffe.","og_url":"https:\/\/www.organisator.ch\/it\/eccellenza-operativa\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/","og_site_name":"Organisator","article_publisher":"https:\/\/www.facebook.com\/OrganisatorFachmagazin","article_published_time":"2024-09-19T12:46:00+00:00","article_modified_time":"2024-11-08T07:57:19+00:00","og_image":[{"url":"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg","type":"","width":"","height":""}],"author":"Adelisa Kalajdzini","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#article","isPartOf":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/"},"author":{"name":"Adelisa Kalajdzini","@id":"https:\/\/www.organisator.ch\/#\/schema\/person\/2e1314a2172123f874db408d8911d3f3"},"headline":"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten","datePublished":"2024-09-19T12:46:00+00:00","dateModified":"2024-11-08T07:57:19+00:00","mainEntityOfPage":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/"},"wordCount":428,"publisher":{"@id":"https:\/\/www.organisator.ch\/#organization"},"image":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#primaryimage"},"thumbnailUrl":"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg","keywords":["Forschende","KI","Maschinendaten","Qualit\u00e4tsmanagement","Unternehmen"],"articleSection":["OPERATIONAL EXCELLENCE"],"inLanguage":"it-IT"},{"@type":"WebPage","@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/","url":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/","name":"I ricercatori della ZHAW sviluppano una soluzione di intelligenza artificiale per la pulizia dei dati delle macchine - Organizzatore","isPartOf":{"@id":"https:\/\/www.organisator.ch\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#primaryimage"},"image":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#primaryimage"},"thumbnailUrl":"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg","datePublished":"2024-09-19T12:46:00+00:00","dateModified":"2024-11-08T07:57:19+00:00","description":"ZHAW sviluppa un framework per il raffinamento automatico dei dati e il rilevamento delle anomalie nei dati industriali senza intervento manuale.","breadcrumb":{"@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/"]}]},{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#primaryimage","url":"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg","contentUrl":"https:\/\/www.m-q.ch\/wp-content\/uploads\/2024\/09\/Zhaw_Bild1_ps.jpg"},{"@type":"BreadcrumbList","@id":"https:\/\/www.organisator.ch\/operational-excellence\/2024-09-19\/zhaw-forschende-entwickeln-ki-loesung-zur-bereinigung-von-maschinendaten\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.organisator.ch\/"},{"@type":"ListItem","position":2,"name":"ZHAW-Forschende entwickeln KI-L\u00f6sung zur Bereinigung von Maschinendaten"}]},{"@type":"WebSite","@id":"https:\/\/www.organisator.ch\/#website","url":"https:\/\/www.organisator.ch\/","name":"Organizzatore","description":"Competente. Pratico. In 10 numeri all'anno, ORGANISATOR presenta i temi essenziali per i manager delle PMI.","publisher":{"@id":"https:\/\/www.organisator.ch\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.organisator.ch\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"it-IT"},{"@type":"Organization","@id":"https:\/\/www.organisator.ch\/#organization","name":"Organizzatore","url":"https:\/\/www.organisator.ch\/","logo":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/www.organisator.ch\/#\/schema\/logo\/image\/","url":"https:\/\/www.organisator.ch\/wp-content\/uploads\/2022\/01\/Logo_Organisator_Website.png","contentUrl":"https:\/\/www.organisator.ch\/wp-content\/uploads\/2022\/01\/Logo_Organisator_Website.png","width":800,"height":77,"caption":"Organisator"},"image":{"@id":"https:\/\/www.organisator.ch\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/OrganisatorFachmagazin","https:\/\/www.linkedin.com\/showcase\/organisator-das-magazin-fr-kmu","https:\/\/www.xing.com\/news\/pages\/organisator-ch-695","https:\/\/www.youtube.com\/channel\/UCGP2Sq0iWaZwT3BdIAQFYpw"]},{"@type":"Person","@id":"https:\/\/www.organisator.ch\/#\/schema\/person\/2e1314a2172123f874db408d8911d3f3","name":"Adelisa Kalajdzini","image":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/secure.gravatar.com\/avatar\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/09a397c22ac58cad6f160ee8306348599df9df58a8ede73696226897b9fa4b24?s=96&d=mm&r=g","caption":"Adelisa Kalajdzini"},"url":"https:\/\/www.organisator.ch\/it\/author\/adelisa-kalajdzini\/"}]}},"_links":{"self":[{"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/posts\/29943","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/comments?post=29943"}],"version-history":[{"count":6,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/posts\/29943\/revisions"}],"predecessor-version":[{"id":31910,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/posts\/29943\/revisions\/31910"}],"wp:attachment":[{"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/media?parent=29943"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/categories?post=29943"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.organisator.ch\/it\/wp-json\/wp\/v2\/tags?post=29943"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}