{"id":12294,"date":"2022-02-03T10:02:08","date_gmt":"2022-02-03T10:02:08","guid":{"rendered":"https:\/\/www.augmentir.com\/?p=12294"},"modified":"2023-12-14T18:31:08","modified_gmt":"2023-12-14T18:31:08","slug":"ai-manufacturing-learning-at-work","status":"publish","type":"post","link":"https:\/\/www.augmentir.com\/de\/webinars\/ai-manufacturing-learning-at-work","title":{"rendered":"Menschliches Lernen bei der Arbeit: Warum Connected Worker-Technologie allein nicht ausreicht"},"content":{"rendered":"<p>Der traditionelle \u201eOne-Size-Fits-All\u201c-Ansatz f\u00fcr Lernen, Anleitung und Leistungsunterst\u00fctzung in der Fertigung erm\u00f6glicht es den Arbeitnehmern von heute nicht mehr, ihre individuellen H\u00f6chstleistungen in Bezug auf Sicherheit, Qualit\u00e4t und Produktivit\u00e4t zu erbringen. KI-gesteuerte Schulungsl\u00f6sungen bieten jedoch einen neuen Weg nach vorne.<\/p>\r\n<p>In einem L\u00f6sungsversuch <a href=\"https:\/\/blog.lnsresearch.com\/connected-worker-solutions-solve-manufacturin-skills-gap\">Probleme mit Wissensl\u00fccken<\/a>, eine ganze Generation von Unternehmen machte sich daran, \u201eConnected Worker\u201c-Softwareanwendungen zu entwickeln, verlie\u00df sich jedoch alle auf die vorhandenen Schulungs-, Beratungs- und Supportprozesse. Die Digitalisierung von Arbeitsanweisungen ist zwar ein guter Anfang, wird aber nicht zur vollst\u00e4ndigen L\u00f6sung des Problems beitragen.<\/p>\r\n<p>Betreten Sie die n\u00e4chste Generation: datengesteuert, KI-unterst\u00fctzt, das die dynamischen Arbeiter von heute schult, f\u00fchrt und unterst\u00fctzt, indem es digitale Arbeitsanweisungen, Remote-Zusammenarbeit und fortschrittliche Schulungsm\u00f6glichkeiten am Arbeitsplatz kombiniert.<\/p>\r\n<p>&nbsp;<\/p>\r\n<p><b><i><\/i>Erfahren Sie in diesem Webinar, wie k\u00fcnstliche Intelligenz eine datengesteuerte Grundlage f\u00fcr kontinuierliche Verbesserungen in den Bereichen Leistungsunterst\u00fctzung, Lernen und Personalentwicklung in der Fertigung legt und so die Voraussetzungen daf\u00fcr schafft, den Anforderungen der sich st\u00e4ndig ver\u00e4ndernden Arbeitskr\u00e4fte von heute gerecht zu werden.<\/b><\/p>\r\n<p>Nehmen Sie am 3. Februar an diesem exklusiven Webinar teil und entdecken Sie:<\/p>\r\n<ul>\r\n<li>Warum statische digitale Arbeitsanweisungen und der traditionelle \u201eOne Size Fits All\u201c-Ansatz f\u00fcr Schulung, Anleitung und Leistungsunterst\u00fctzung nicht funktionieren<\/li>\r\n<li>Warum Industrieunternehmen mit KI einen Schritt weiter gehen m\u00fcssen, um den Mangel an qualifizierten und qualifizierten Arbeitskr\u00e4ften in der Fertigung zu \u00fcberwinden<\/li>\r\n<li>Wie KI eine datengesteuerte Grundlage daf\u00fcr legt <a href=\"https:\/\/www.augmentir.com\/glossary\/what-is-kaizen-continuous-improvement\">st\u00e4ndige Verbesserung<\/a> in den Bereichen Leistungsunterst\u00fctzung, Lernen und Personalentwicklung in Fertigungsbetrieben<\/li>\r\n<li>Echte Anwendungsf\u00e4lle dar\u00fcber, wie Industrieunternehmen sind\u00a0<b>Reduzierung der Einarbeitungszeit f\u00fcr neue Mitarbeiter um bis zu 80% bei gleichzeitiger Steigerung der Arbeitsproduktivit\u00e4t um 21% im gesamten Fertigungsbetrieb<\/b><\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p>Treffen Sie Ihre Webinar-Leiter:<\/p>\r\n<p><strong>Dennis Cook, Leiter des Au\u00dfendienstes, Augmentir<\/strong><br \/>Dennis Cook kam Anfang dieses Jahres als Director of Field Operations mit \u00fcber 20 Jahren Erfahrung in der Softwarebranche zu Augmentir. Im Laufe seiner Karriere war er in den Sektoren Fertigung, \u00d6l und Gas sowie Energie t\u00e4tig und konzentrierte sich dabei auf Technologien zur Rationalisierung von Anlagenprozessen. Als einer der fr\u00fchen Vision\u00e4re im Connected Worker-Bereich hat sich Dennis in den letzten 6 Jahren auf die Connected Worker-Technologie konzentriert.<\/p>\r\n<p><strong>Brent Kedzierski, Chief Learning Officer, HumanWRKS<\/strong><br \/>Brent Kedzierski, Chief Learning Officer bei HumanWRKS, fungiert als Branchenf\u00fcrsprecher, um 5.0 als Mittel zur Erreichung einer integrativeren und menschenzentrierteren Zukunft zu f\u00f6rdern, und arbeitet daran, die menschliche Leistungserfahrung in Branchen mit hohem Risiko und hohen Konsequenzen zu verbessern. Vor HumanWRKS verbrachte Brent 22 Jahre bei Shell als Head of Learning Strategy and Innovation, wo er eine treibende Kraft war, die viele der wichtigsten globalen Lerntransformationen des Unternehmens im 21. Jahrhundert konzipierte, konzipierte und operationalisierte. W\u00e4hrend seiner Zeit dort trug Brent dazu bei, Shell zu einem weltweit f\u00fchrenden Personalmanagement- und Lernunternehmen zu machen.<\/p>\r\n<p><strong>Russ Fadel, Mitbegr\u00fcnder und CEO, Augmentir<\/strong><\/p>\r\n<p>Russ Fadel ist ein Serienunternehmer und CEO und Mitbegr\u00fcnder von Augmentir. Vor der Gr\u00fcndung von Augmentir gr\u00fcndete Russ 4 erfolgreiche Unternehmen im Industriesoftwaresektor, darunter die beiden j\u00fcngsten \u2013 ThingWorx, das f\u00fchrende Unternehmen f\u00fcr industrielle IoT (IIoT)-Plattformen (von PTC \u00fcbernommen) und Lighthammer, den Pionier im Bereich Enterprise Manufacturing Intelligence Software ( von SAP erworben). Russ war eng an den letzten drei Softwarerevolutionen rund um Menschen und Maschinen in Fertigung und Service beteiligt. Augmentir ist eine Fortsetzung dieses Themas.<\/p>\r\n\r\n\r\n\r\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>On-Demand-Webinar<\/p>","protected":false},"author":1,"featured_media":12295,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[25],"tags":[],"class_list":["post-12294","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-webinars"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Human Learning at Work: Why Connected Worker Technology Alone Wont Cut It - Augmentir<\/title>\n<meta name=\"description\" content=\"In this webinar, learn new approaches to continuous learning and performance support in manufacturing via AI and Connected Worker Solutions.\" \/>\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.augmentir.com\/de\/webinars\/ai-manufacturing-learning-at-work\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Human Learning at Work: Why Connected Worker Technology Alone Wont Cut It - Augmentir\" \/>\n<meta property=\"og:description\" content=\"In this webinar, learn new approaches to continuous learning and performance support in manufacturing via AI and Connected Worker Solutions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.augmentir.com\/de\/webinars\/ai-manufacturing-learning-at-work\" \/>\n<meta property=\"og:site_name\" content=\"Augmentir\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-03T10:02:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-14T18:31:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.augmentir.com\/wp-content\/uploads\/2022\/01\/webinar-human-learning-at-work-copy.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Chris Kuntz\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@augmentir\" \/>\n<meta name=\"twitter:site\" content=\"@augmentir\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work\"},\"author\":{\"name\":\"Chris Kuntz\",\"@id\":\"https:\/\/www.augmentir.com\/#\/schema\/person\/a873d3191dd1f8d87b6c61258e92d07b\"},\"headline\":\"Human Learning at Work: Why Connected Worker Technology Alone Wont Cut It\",\"datePublished\":\"2022-02-03T10:02:08+00:00\",\"dateModified\":\"2023-12-14T18:31:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work\"},\"wordCount\":537,\"publisher\":{\"@id\":\"https:\/\/www.augmentir.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.augmentir.com\/wp-content\/uploads\/2022\/01\/webinar-human-learning-at-work-copy.png\",\"articleSection\":[\"Webinars\"],\"inLanguage\":\"de-DE\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work\",\"url\":\"https:\/\/www.augmentir.com\/webinars\/ai-manufacturing-learning-at-work\",\"name\":\"Human Learning at Work: Why Connected Worker Technology Alone Wont Cut It - 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