{"id":8190,"date":"2019-06-26T16:30:44","date_gmt":"2019-06-26T14:30:44","guid":{"rendered":""},"modified":"2019-08-09T13:33:15","modified_gmt":"2019-08-09T11:33:15","slug":"asos-brand-recommender-standardisiert-auf-azure-machine-learning","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/de-de\/industry\/blog\/retail\/2019\/06\/26\/asos-brand-recommender-standardisiert-auf-azure-machine-learning\/","title":{"rendered":"ASOS Brand Recommender standardisiert auf Azure Machine Learning"},"content":{"rendered":"<p><strong>Der britische Online H\u00e4ndler ASOS<\/strong> ist seit 2000 eine Top Fashion Destination f\u00fcr 20 bis 30-J\u00e4hrige. ASOS sieht sich als datengetrieben und fokussiert auf Kundenauswahl, bspw. werden Artikel in 30 verschiedenen Gr\u00f6\u00dfen weltweit angeboten. ASOS nutzt Data Science, um Datenmodelle f\u00fcr Produktempfehlungen zu erstellen. Drei spezialisierte Teams waren bisher bei der Entwicklung der Datenmodelle beteiligt, die alle unterschiedliche Technologien und Werkzeuge nutzten. Dies f\u00fchrte zu bspw. Wartezeiten bei der Entwicklung und erschwerte das ganzheitliche Testen der Modelle.<\/p>\n<p>W\u00e4hrend eines 4-w\u00f6chigen Hackathons entwickelten ASOS Ingenieure und Data Scientists gemeinsam mit Microsoft den neuen \u201eBrand Recommender\u201c. Die verarbeiteten Datenmengen sind enorm. So greifen bspw. 19.2 Millionen Kunden t\u00e4glich auf Gigabytes von Daten zu, die \u00fcber <strong>Azure Cosmos DB<\/strong>\u00a0global skalieren. Der \u201eBrand Recommender\u201c nutzt den\u00a0<strong>Azure Machine Learning<\/strong>\u00a0Service und\u00a0<strong>Deep Learning Virtual Machine<\/strong>, um GPU-basierte Instanzen auf virtuellen Maschinen f\u00fcr das Trainieren der Deep Learning Modelle bereitzustellen.<\/p>\n<p>\u201eDa Azure Machine Learning eine agnostische Plattform bildet, nutzen wir den Service mit jeder Technologie, die unsere Bedarfe erf\u00fcllt.\u201c sagt Naeem Khedarun, Principal Software Engineer AI, ASOS. Die Data Scientists m\u00fcssen jetzt nicht l\u00e4nger virtuelle Maschinen manuell konfigurieren oder Jobs ansto\u00dfen, dies wird \u00fcber den Azure Machine Learning Service gemanagt. Das nun \u00fcbergreifende Data Science Team mit 50 Scientists ist durch die Standardisierung auf Azure Machine Learning in der Lage, die Einf\u00fchrungszeit f\u00fcr Datenmodelle von sechs Monaten auf ungef\u00e4hr sechs Wochen zu verk\u00fcrzen. Khedarun erg\u00e4nzt: \u201eWir haben eine KI Transformation der operativen Entwicklung erreicht, indem wir KI F\u00e4higkeiten in alle Aspekte eingebracht haben. Wir haben den Azure Machine Learning Service nicht nur genutzt, um technische Herausforderungen zu meistern, sondern auch um unsere organisatorischen und operationalen Herausforderungen zu l\u00f6sen.\u201c<\/p>\n<p>&nbsp;<\/p>\n<p><strong class=\"x-hidden-focus\">Mehr Informationen zu <a href=\"http:\/\/enterprise.microsoft.com\/de-de\/industries\/retail-and-consumer-goods\/\">Microsoft im Handel und der Konsumg\u00fcterbranche<\/a> und den Kontakt zur Autorin finden Sie <a href=\"https:\/\/de.linkedin.com\/in\/xeniagiese?trk=author_mini-profile_title\">hier<\/a>.<\/strong><\/p>\n<p>Die komplette (englische) Customer Story lesen Sie <a href=\"https:\/\/customers.microsoft.com\/en-US\/story\/asos-retailers-azure?WT.mc_id=AID737102_EML_6013250\">hier<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p>Unser <strong>Retail and Consumer Goods Innovations Newsletter <\/strong>bringt Ihnen regelm\u00e4\u00dfig die wichtigsten Neuerungen aus dieser spannenden Branche direkt in Ihr Postfach. <strong><a href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fprofile.microsoft.com%2FRegSysProfileCenter%2Fwizardnp.aspx%3Fwizid%3Debebbc81-4452-4e4e-97b7-b33f7fc777b1%26lcid%3D1031&amp;data=02%7C01%7Cv-dowulk%40microsoft.com%7Caefaacc07e604db1e09908d715ae6b50%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637001711172773849&amp;sdata=LeKbZYZmyu42kfk0tRwfhLA4BhovM5%2FSxOqOYjdlQ4E%3D&amp;reserved=0\">Melden Sie sich jetzt hier an<\/a><\/strong> und verpassen Sie keine News mehr.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ASOS nutzt Data Science, um Datenmodelle f\u00fcr Produktempfehlungen zu erstellen. Mit Microsoft Azure Services gelingt dies dem Onlineh\u00e4ndler spielend leicht.<\/p>\n","protected":false},"author":0,"featured_media":8193,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"categories":[202],"post_tag":[186],"content-type":[298,241],"coauthors":[89],"class_list":["post-8190","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-retail","tag-kuenstliche-intelligenz","content-type-big-data","content-type-kuenstliche-intelligenz"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ASOS Brand Recommender standardisiert auf Azure Machine Learning - Microsoft Branchenblogs<\/title>\n<meta name=\"description\" content=\"ASOS nutzt Data Science, um Datenmodelle f\u00fcr Produktempfehlungen zu erstellen. 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