Azure Cognitive Search<\/span><\/b><\/p>\n Azure Cognitive Search<\/a> (formerly known as Azure Search<\/a>) is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Fully managed search as a service helps you reduce complexity and scale faster.<\/p>\n Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech.<\/p>\n A search-as-a-service cloud solution that gives developers APIs and tools for a rich search experience over private, heterogeneous content in web, mobile, and enterprise apps.<\/span><\/em><\/p>\n Example scenarios for Cognitive Search<\/span><\/b><\/p>\n Cognitive Search resources<\/span><\/b><\/p>\n QnA Maker<\/span><\/b><\/p>\n An Azure Cognitive Service, QnA Maker<\/a> is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from semi-structured content, including FAQs, manuals, and documents. Automatically answer users\u2019 questions with the best answers from the QnAs in your knowledge base. Your knowledge base gets smarter, too, as it continually learns from user behavior.<\/span><\/p>\n When to use QnA Maker<\/span><\/b><\/p>\n QnA Maker Resources<\/span><\/b><\/p>\n Azure Machine Learning<\/span><\/b><\/p>\n Use Azure Machine Learning (ML) to accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps\u2014DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible AI. <\/span><\/p>\n Azure ML accelerates productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning<\/a>. In addition, robust MLOps<\/a> capabilities integrate with existing DevOps processes and help manage the complete ML lifecycle.<\/p>\n 5 best practices to optimize your MLOps lifecycle using Azure Machine Learning.<\/span><\/em><\/p>\n Azure ML includes state-of-the-art fairness and model interpretability to help you build responsible AI solutions, with enhanced security and cost management for advanced governance and control. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.<\/span><\/p>\n Azure Machine Learning service resources:<\/span><\/b><\/p>\n Additional resources for AI and Machine Learning<\/span><\/b><\/p>\n Azure Government continues to invest in delivering new cloud capabilities to government customers at a rapid pace. Over the next few weeks, we\u2019ll continue highlighting a wide range of new services along with how-to resources to help you accelerate modernization initiatives. New Artificial Intelligence and Machine Learning services available in Azure Government include Azure Cognitive […]<\/p>\n","protected":false},"author":1804,"featured_media":19088,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[47,95,184,384],"class_list":["post-19077","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-announcements","tag-ai","tag-azure-government","tag-cloud-strategy","tag-machine-learning"],"acf":[],"blog_post_summary":" Azure Government continues to invest in delivering new cloud capabilities to government customers at a rapid pace. Over the next few weeks, we\u2019ll continue highlighting a wide range of new services along with how-to resources to help you accelerate modernization initiatives. New Artificial Intelligence and Machine Learning services available in Azure Government include Azure Cognitive […]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/posts\/19077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/users\/1804"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/comments?post=19077"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/posts\/19077\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/media\/19088"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/media?parent=19077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/categories?post=19077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/azuregov\/wp-json\/wp\/v2\/tags?post=19077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"Image](\"https:\/\/devblogs.microsoft.com\/azuregov\/wp-content\/uploads\/sites\/43\/2020\/03\/Azure-Cognitive-Search-blog-image-1.png\")
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