{"id":157,"date":"2022-03-25T11:23:27","date_gmt":"2022-03-25T11:23:27","guid":{"rendered":"https:\/\/felixaugenstein.com\/blog\/?p=157"},"modified":"2022-03-25T11:23:27","modified_gmt":"2022-03-25T11:23:27","slug":"accelerate-your-automation-data-ai-journey-automate-the-ai-lifecycle-with-watson-studio-pipelines","status":"publish","type":"post","link":"https:\/\/felixaugenstein.com\/blog\/accelerate-your-automation-data-ai-journey-automate-the-ai-lifecycle-with-watson-studio-pipelines\/","title":{"rendered":"Accelerate your Automation, Data &#038; AI Journey &#8211; Automate the AI Lifecycle with Watson Studio Pipelines"},"content":{"rendered":"\n<p>Discover how to create repeatable and scheduled flows that automate notebook, data refinery, and machine learning pipelines: from data ingestion to model training, testing, and deployment. <\/p>\n\n\n\n<p>Explore our intuitive user interface and state-of-the-art data science tools. Combined, you can create continuous integration \/ continuous development pipelines for AI.<\/p>\n\n\n\n<p>We&#8217;ll explore Watson Studio Pipelines, built off of Kubeflow Pipelines on the Tekton runtime &#8211; fully integrated into the Watson Studio platform.<\/p>\n\n\n\n<p>You can access the session here:<\/p>\n\n\n\n<p><a href=\"https:\/\/www.crowdcast.io\/e\/auto-data-ai\/3\">https:\/\/www.crowdcast.io\/e\/auto-data-ai\/3<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover how to create repeatable and scheduled flows that automate notebook, data refinery, and machine learning pipelines: from data ingestion to model training, testing, and deployment. Explore our intuitive user interface and state-of-the-art data science tools. Combined, you can create continuous integration \/ continuous development pipelines for AI. We&#8217;ll explore [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":158,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34,21,4,20],"tags":[],"class_list":["post-157","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-lifecycle","category-cloud-pak-for-data","category-ibm-watson","category-watson-studio"],"_links":{"self":[{"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/posts\/157","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/comments?post=157"}],"version-history":[{"count":1,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/posts\/157\/revisions"}],"predecessor-version":[{"id":159,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/posts\/157\/revisions\/159"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/media\/158"}],"wp:attachment":[{"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/media?parent=157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/categories?post=157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/felixaugenstein.com\/blog\/wp-json\/wp\/v2\/tags?post=157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}