{"id":7073,"date":"2021-12-03T12:30:33","date_gmt":"2021-12-03T17:30:33","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=7073"},"modified":"2021-12-03T13:21:03","modified_gmt":"2021-12-03T18:21:03","slug":"red-hat-drops-new-openshift-data-science-cloud-offering","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/red-hat-drops-new-openshift-data-science-cloud-offering\/","title":{"rendered":"Red Hat Drops New OpenShift Data Science Cloud Offering"},"content":{"rendered":"
\"Red

Source: Red Hat<\/p><\/div>\n

Red Hat recently announced the availability<\/a> of Red Hat OpenShift Data Science as a field trial, according to a press release. Red Hat OpenShift Data Science is a cloud service tailored for machine learning (ML) on Red Hat OpenShift. Enabled by\u00a0Kubernetes operators, Red Hat OpenShift Data Science gives enterprise organizations flexibility in selecting technologies to develop, test and deploy ML models. Red Hat OpenShift Data Science moves operational responsibility and support to Red Hat which gives organizations the freedom to use their chosen AI\/ML tools.<\/p>\n

Our Buyer’s Guide for Data Science and Machine Learning Platforms<\/span><\/a><\/strong><\/em> helps you evaluate the best solution for your use case and features profiles of the leading providers, as well as a category overview of the marketplace.<\/div><\/p>\n

In addition to Intel and NVIDIA, Red Hat OpenShift Data Science includes support from several other leading AI and machine learning solutions like Anaconda Commercial Edition, IBM Watson Studio with AutoAI, Seldon Deploy, and Starburst Galaxy. The field trial release of Red Hat OpenShift Data Science offers general availability-level quality and support, allowing customers to try out the service, while only paying for the underlying Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS and AWS infrastructure.<\/p>\n

In a media statement on the news, Red Hat Vice President and General Manager, Cloud Data Services Mike Piech said: “Data science and machine learning are helping drive innovation and business value in nearly every industry. For many companies the biggest barrier to adoption is the complexity of wiring together the necessary data sources with diverse model training and model deployment technologies. With Red Hat OpenShift Data Science, Red Hat\u2019s contributions to Open Data Hub, and our extensive partner ecosystem, we\u2019re helping organizations overcome such complexity to begin harnessing the full potential of machine learning from the leader in trusted open source technology.\u201d<\/p>\n

To learn more about Red Hat OpenShift Data Science, read this brief<\/a> on the company’s website.<\/p>\n

<\/div><\/p>\n

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\"\"<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"

Red Hat recently announced the availability of Red Hat OpenShift Data Science as a field trial, according to a press release. Red Hat OpenShift Data Science is a cloud service tailored for machine learning (ML) on Red Hat OpenShift. Enabled by\u00a0Kubernetes operators, Red Hat OpenShift Data Science gives enterprise organizations flexibility in selecting technologies to […]<\/p>\n","protected":false},"author":23,"featured_media":7078,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1735,1734,1733],"acf":[],"yoast_head":"\nRed Hat Drops New OpenShift Data Science Cloud Offering<\/title>\n<meta name=\"description\" content=\"Red Hat recently announced the availability of Red Hat OpenShift Data Science as a field trial, according to a press release.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/red-hat-drops-new-openshift-data-science-cloud-offering\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta 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