{"id":553329,"date":"2019-05-03T19:57:48","date_gmt":"2019-05-04T02:57:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=553329"},"modified":"2019-06-04T16:51:56","modified_gmt":"2019-06-04T23:51:56","slug":"anomaly-finder","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/anomaly-finder\/","title":{"rendered":"Project Anomaly Finder"},"content":{"rendered":"<p><span style=\"font-size: small;\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/cognitive-research\/\">< Back to Cognitive Research Technologies main page <span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/span><\/p>\n<p><span data-contrast=\"none\">Project Anomaly Finder was an experimental lab that helped monitor data over time and detect anomalies with machine learning that adapted to unique data by automatically applying a statistical model regardless of industry, scenario, or data volume.\u00a0<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":300,\"335559740\":240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Project Anomaly Finder has now been graduated as part of the Azure Cognitive Service &#8211; <\/span><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/anomaly-detector\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-contrast=\"none\">Anomaly Detector<\/span><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><span data-contrast=\"auto\"> in preview.\u00a0<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":300,\"335559740\":240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Through an API, the Anomaly Detector Preview ingests time-series data of all types and selects the best-fitting detection model for your data to ensure high accuracy. You can customize the service to detect any level of anomaly and deploy it wherever you need it most.\u00a0<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":300,\"335559740\":240}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">For more information, please visit <\/span><\/b><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/anomaly-detector\/\" target=\"_blank\" rel=\"noopener noreferrer\"><b><span data-contrast=\"none\">Cognitive Services \u2013 Anomaly Detector<\/span><\/b><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>< Back to Cognitive Research Technologies main page Project Anomaly Finder was an experimental lab that helped monitor data over time and detect anomalies with machine learning that adapted to unique data by automatically applying a statistical model regardless of industry, scenario, or data volume.\u00a0\u00a0 Project Anomaly Finder has now been graduated as part of [&hellip;]\n<\/p>\n","protected":false},"featured_media":553230,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-553329","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[548625],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[{"attachment_id":550461,"headline":"Boost your systems\u2019 reliability with early problem detection","cta":"Learn More","url":"https:\/\/azure.microsoft.com\/en-us\/services\/cognitive-services\/anomaly-detector\/","cta_style":"","slideshow_type":"feature"}],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553329"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":13,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553329\/revisions"}],"predecessor-version":[{"id":584668,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/553329\/revisions\/584668"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/553230"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=553329"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=553329"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=553329"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=553329"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=553329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}