{"id":11705,"date":"2022-04-16T11:33:48","date_gmt":"2022-04-16T09:33:48","guid":{"rendered":"https:\/\/events.gito.de\/manufacturing-analytics-in-the-context-of-the-smart-factory\/"},"modified":"2025-03-23T15:54:48","modified_gmt":"2025-03-23T15:54:48","slug":"manufacturing-analytics-in-the-context-of-the-smart-factory","status":"publish","type":"page","link":"https:\/\/events.gito.de\/en\/manufacturing-analytics-in-the-context-of-the-smart-factory\/","title":{"rendered":"Manufacturing analytics in the context of the smart factory"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"11705\" class=\"elementor elementor-11705 elementor-6134\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a7e6063 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"a7e6063\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-eb431be\" data-id=\"eb431be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5a1c1dc elementor-widget elementor-widget-text-editor\" data-id=\"5a1c1dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>[vc_row][vc_column][eventchamp_banner bannertitleone=&#8221;R\u00fcckblick&#8221; bannertitletwo=&#8221;Smart Factory 2019&#8243; link=&#8221;&#8221; bannerbg=&#8221;8210&#8243;][\/vc_column][\/vc_row]<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-859954e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"859954e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2153131\" data-id=\"2153131\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0936a89 elementor-widget elementor-widget-text-editor\" data-id=\"0936a89\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-weight: 400;\">The increasing complexity of industrial manufacturing processes and the associated challenges in terms of planning and control require new approaches to optimisation. The Manufacturing Analytics user conference was entirely focused on the applicability of analytics and AI mechanisms for the industrial manufacturing context.<\/p>\n<p style=\"font-weight: 400;\">In the context of the Smart Factory, there were specialist lectures by selected experts, field reports from users and special application scenarios relating to the factory. Furthermore, visitors were given the opportunity to experience AI application fields in practice as part of a virtual tour of the Potsdam Research and Application Center Industry 4.0. This enabled users to get an impression of the potential for their individual processes. Small and medium-sized companies in particular received ideas and suggestions for the realization of their AI projects in the manufacturing context during the conference.<\/p>\n<span style=\"color: #333333;\"><\/span>\n<b>Benefits<\/b>:\n<ul style=\"font-weight: 400;\">\n \t<li>Exclusive first-hand expert knowledge<\/li>\n \t<li>Exchange of experiences with experts and participants<\/li>\n \t<li>Artificial Intelligence &amp; Industry 4.0 live<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f265a37 elementor-widget elementor-widget-heading\" data-id=\"f265a37\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Topics &amp; Focuses<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a743dda elementor-widget elementor-widget-text-editor\" data-id=\"a743dda\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li>Predictive analytics in the manufacturing context using the example of predictive maintenance<\/li>\n<li>Quality predictions from process parameters<\/li>\n<li>Smart machines as the basis for manufacturing analytics<\/li>\n<li>Retrofit &#8211; connecting older machines to the IIoT<\/li>\n<li>Methods and algorithms for manufacturing analytics (AI, deep learning)<\/li>\n<li>Qualification of employees for manufacturing analytics<\/li>\n<li>Tools for the realization of manufacturing analytics<\/li>\n<li>Forecasts and predictions instead of past analysis<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-64e8c4e0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"64e8c4e0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6748593\" data-id=\"6748593\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-894c372 elementor-widget elementor-widget-heading\" data-id=\"894c372\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Program<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-46b4d29f elementor-widget elementor-widget-text-editor\" data-id=\"46b4d29f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>[vc_row][vc_column]\t\t<section class=\"eventchamp-legacy eventchamp-legacy-schedule eventchamp-legacy-schedule--style-2\" id=\"eventchamp-legacy-schedule-263006\">\n\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__group\">\n\t\t\t\t\t<h3 class=\"eventchamp-legacy-schedule__group-title\">Day 1<\/h3>\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__items\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-0-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 9:30 &#8211; 10:00<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Mittels Manufacturing Analytics Mehrwerte f\u00fcr Kunden schaffen<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-0-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Systematische Identifikation m\u00f6glicher Mehrwerte<br \/>\nManufacturing Analytics als wesentliches Element der Supply Chain Integration<br \/>\nHandlungsempfehlungen f\u00fcr die Projektumsetzung<\/p>\n<\/div>\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__speakers\"><a href=\"https:\/\/events.gito.de\/speaker\/norbert-gronau\/\">Prof. Dr.-Ing. Norbert Gronau<\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-1-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 10:00 &#8211; 10:30<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Machine-Learning-basierte Bauteilerkennung in der Additiven Fertigung<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-1-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Automatisiertes Sortieren von Bauteilen beim Selective Laser Sintering<br \/>\nMachine Learning zur Automatisierung industrieller Prozesse<br \/>\nVerkn\u00fcpfung virtueller und physischer Informationen f\u00fcr Machine Learning<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-2-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 11:00 &#8211; 11:30<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Datengetriebene Optimierung f\u00fcr Manufacturing Excellence \u2013 Von Maschinendaten bis zur strategischen Gesch\u00e4ftsplanung<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-2-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Industrie 4.0 im Mittelstand<br \/>\nMagic L\u00f6sung FactoryEye<br \/>\nGesch\u00e4ftliche Mehrwerte durch Optimierung<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-3-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 11:30 &#8211; 12:00<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">K\u00fcnstliche Intelligenz zur Bew\u00e4ltigung komplexer Planungsprozesse in der Fertigung<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-3-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Anwendungen von KI in der Reihenfolgeplanung f\u00fcr die Fertigung<br \/>\nMethoden zur systematischen Reduktion des L\u00f6sungsraums f\u00fcr Planungsprobleme<br \/>\nVergleich unterschiedlicher Ans\u00e4tze zur Beherrschung komplexer Probleme<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-4-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 13:30 &#8211; 14:00<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Maschinendaten-Retrofit als Digitalisierungsbaustein<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-4-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Mit Sensoren werthaltige Zustands- und Betriebsdaten erfassen<br \/>\nDatenanalysen mit Hilfe von Machine Learning-Algorithmen<br \/>\nInformationsgewinnung und Entscheidungsfindung<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-5-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 14:00 &#8211; 14:30<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Produktmerkmale als Treiber des Ausfallverhaltens von Fahrzeugen<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-5-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Business Case und Datenquellen<br \/>\nKey Challenge: Handling vieler Attribute<br \/>\nDie Methode: Klassifikation mit Tree Verfahren<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-6-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 15:00 &#8211; 15:30<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Wesentliche Erfolgsfaktoren in Advanced Analytics Projekten<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-6-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Reifegradmodell f\u00fcr Advanced Analytics Projekte<br \/>\nProjektbeispiel Predictive Analytics f\u00fcr Windkraftanlagen<br \/>\nErfolgsfaktoren f\u00fcr Predictive Analytics Projekte <\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-7-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 15:30 &#8211; 16:00<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Einsatzm\u00f6glichkeiten von Predictive Analytics f\u00fcr produzierende KMU<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-7-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Besonderheiten der Datenanalyse im produzierenden Mittelstand<br \/>\nEinsatzfelder und M\u00f6glichkeiten f\u00fcr Predictive Analytics<br \/>\nDie Bedeutung von Manufacturing Analytics f\u00fcr die Umsetzung von Industrie 4.0<\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article class=\"eventchamp-legacy-schedule__item has-details\">\n\t\t\t\t\t\t\t<button class=\"eventchamp-legacy-schedule__header\" type=\"button\" aria-expanded=\"true\" aria-controls=\"eventchamp-legacy-schedule-263006-8-content\">\n\t\t\t\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__time\">2019-11-12 \u00b7 16:00 &#8211; 16:30<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__title\">Von Analytics zu Smart Analytics &#8211; wie die Umsetzung von Manufacturing Analytics in der Fabrik gelingen kann<\/span>\n\t\t\t\t\t<span class=\"eventchamp-legacy-schedule__icon\" aria-hidden=\"true\">+<\/span>\t\t\t<\/button>\t\t\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__details\" id=\"eventchamp-legacy-schedule-263006-8-content\">\n\t\t\t\t\t<div class=\"eventchamp-legacy-schedule__description\"><p>Was ist eigentlich modernes Produktionsmanagement?<br \/>\nIntegration heterogener Fabrikanlagen mittels flexibler Industrie 4.0-Box<br \/>\nKonzeptadaption und L\u00f6sungsevaluierung im Forschungs- und Anwendungszentrum Industrie 4.0 <\/p>\n<\/div>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/section>\n\t\t<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bdb1120 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bdb1120\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5d96aa1\" data-id=\"5d96aa1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4a42e15 elementor-widget elementor-widget-heading\" data-id=\"4a42e15\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Contact Person<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2f64e32 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2f64e32\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-811b373\" data-id=\"811b373\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ac52039 elementor-widget elementor-widget-heading\" data-id=\"ac52039\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Contact for content-related questions<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e74802 elementor-widget elementor-widget-image\" data-id=\"4e74802\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"149\" height=\"150\" src=\"https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/bender-rund_1.png\" class=\"attachment-thumbnail size-thumbnail wp-image-5908\" alt=\"\" srcset=\"https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/bender-rund_1.png 150w, https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/bender-rund_1-85x85.png 85w, https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/bender-rund_1-100x100.png 100w\" sizes=\"(max-width: 149px) 100vw, 149px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51d1273 elementor-widget elementor-widget-text-editor\" data-id=\"51d1273\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #333333;\"><strong>Benedict Bender<\/strong><\/span><br \/><span style=\"color: #ffffff;\">phone: +49 (331) 977-3837<\/span><br \/><span style=\"color: #ffffff;\"><a style=\"color: #ffffff;\" href=\"mailto:Benedict.Bender@wi.uni-potsdam.de\">Send e-mail<\/a><\/span><br \/><span style=\"color: #ffffff;\"><a style=\"color: #ffffff;\" href=\"http:\/\/www.wi.uni-potsdam.de\/\" target=\"_blank\" rel=\"noopener\">www.wi.uni-potsdam.de<\/a><\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-663ec73\" data-id=\"663ec73\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fed35f8 elementor-widget elementor-widget-heading\" data-id=\"fed35f8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Eventorganisation \n&amp; Marketing<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74dd9c7 elementor-widget elementor-widget-image\" data-id=\"74dd9c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/copat-rund_0.png\" class=\"attachment-large size-large wp-image-6022\" alt=\"\" srcset=\"https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/copat-rund_0.png 150w, https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/copat-rund_0-85x85.png 85w, https:\/\/events.gito.de\/wp-content\/uploads\/2022\/04\/copat-rund_0-100x100.png 100w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0751162 elementor-widget elementor-widget-text-editor\" data-id=\"0751162\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #333333;\"><strong>Giulia Copat<\/strong><\/span><br \/><span style=\"color: #ffffff;\"><i>Project Manager Marketing and Event<\/i><\/span><br \/><span style=\"color: #ffffff;\">phone +49 30 41 93 83 66<\/span><br \/><span style=\"color: #ffffff;\"><a style=\"color: #ffffff;\" href=\"mailto:Giulia.Copat@gito-verlag.de\">Send e-mail<\/a><\/span><br \/><span style=\"color: #ffffff;\"><a style=\"color: #ffffff;\" href=\"http:\/\/www.gito.de\/\" target=\"_blank\" rel=\"noopener\">www.gito.de<\/a><\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][eventchamp_banner bannertitleone=&#8221;R\u00fcckblick&#8221; bannertitletwo=&#8221;Smart Factory 2019&#8243; link=&#8221;&#8221; bannerbg=&#8221;8210&#8243;][\/vc_column][\/vc_row] The increasing complexity of industrial manufacturing processes and the associated challenges in terms of planning and control require new approaches to optimisation. The Manufacturing Analytics user conference was entirely focused on the applicability&#8230;<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-11705","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/pages\/11705","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/comments?post=11705"}],"version-history":[{"count":10,"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/pages\/11705\/revisions"}],"predecessor-version":[{"id":11715,"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/pages\/11705\/revisions\/11715"}],"wp:attachment":[{"href":"https:\/\/events.gito.de\/en\/wp-json\/wp\/v2\/media?parent=11705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}