{"id":72595,"date":"2023-08-22T09:50:18","date_gmt":"2023-08-22T08:50:18","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=event_listing&#038;p=72595"},"modified":"2026-03-08T12:47:21","modified_gmt":"2026-03-08T12:47:21","slug":"watsonx-ai-la-segmentation-client-a-lheure-de-lia-generative","status":"publish","type":"event_listing","link":"https:\/\/www.artefact.com\/de\/events\/watsonx-ai-la-segmentation-client-a-lheure-de-lia-generative\/","title":{"rendered":"Salon Big Data &amp; IA | IBM x Artefact||Salon Big Data &amp; IA | IBM x Artefact||Salon Big Data &amp; IA | IBM x Artefact"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Beschreibung der Konferenz<\/h2><\/div><div class=\"fusion-text fusion-text-1\"><p>Das maschinelle Lernen ist in der Lage, die Segmentierungstechniken (Parameter, Typologie, Daten,...) zu beherrschen. Das Gesch\u00e4ft verlangt dar\u00fcber hinaus eine hohe Wiederholbarkeit und Reaktivit\u00e4t bei diesen erfolgreichen Segmentierungen. L'IA g\u00e9n\u00e9rative vous apporte l'apporte, g\u00e9n\u00e9rant des textes compr\u00e9hensibles based on les informations techniques et ceux, instantan\u00e9ment.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Le\u00a0<span style=\"color: #ff0066;\"><a style=\"color: #ff0066;\" href=\"https:\/\/www.bigdataparis.com\/\" target=\"_blank\" rel=\"noopener\">Salon Big Data &amp; AI Paris<\/a><\/span>\u00a0le 25 et 26 septembre<\/h2><\/div><div class=\"fusion-text fusion-text-2\"><p>BIG DATA &amp; AI PARIS ist seit 12 Jahren ein einzigartiges \u00d6kosystem, in dem sich jedes Jahr die Cr\u00e8me de la Cr\u00e8me von Big Data und franz\u00f6sischer KI mit einem sinnvollen, ikonischen und leistungsstarken Programm trifft:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-1 fusion-checklist-default type-icons paddingList dark-text\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>350 Konferenzen und Ateliers<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>16 000 Teilnehmer<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>250 Exponate und Sponsoren<\/p>\n<\/div><\/li><\/ul><\/div><\/div><\/div><\/div>","protected":false},"featured_media":72596,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"country":[],"event_listing_category":[856],"event_listing_type":[2986],"class_list":["post-72595","event_listing","type-event_listing","status-publish","has-post-thumbnail","hentry","event_listing_category-data-consulting","event_listing_type-conferences"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing\/72595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing"}],"about":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/types\/event_listing"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media\/72596"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media?parent=72595"}],"wp:term":[{"taxonomy":"country","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/country?post=72595"},{"taxonomy":"event_listing_category","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing_category?post=72595"},{"taxonomy":"event_listing_type","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/event_listing_type?post=72595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}