{"id":502121,"date":"2018-08-01T10:29:56","date_gmt":"2018-08-01T17:29:56","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=502121"},"modified":"2018-11-06T08:25:07","modified_gmt":"2018-11-06T16:25:07","slug":"new-research-opportunities-in-data-analytics","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/new-research-opportunities-in-data-analytics\/","title":{"rendered":"Research in Focus: New Research Opportunities in Data Analytics"},"content":{"rendered":"<p>Increasing availability of the data, coupled with breakthroughs in Machine Learning and AI, have raised the ambitions of the enterprises to exploit insights from data to transform their businesses. This has challenged the data platform builders to architect platforms that support the exploration of insights in an efficient and cost-effective manner. Conversely, it has raised the hopes of data platform architects that the telemetry data captured by the data platforms can be harnessed bring the data-driven innovation to customize data platforms and make them adapt to the workload and data characteristics. In this session, we will explore this duality of \u201cData Platforms for AI\u201d and \u201cAI for Data Platforms\u201d.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Increasing availability of the data, coupled with breakthroughs in Machine Learning and AI, have raised the ambitions of the enterprises to exploit insights from data to transform their businesses. This has challenged the data platform builders to architect platforms that support the exploration of insights in an efficient and cost-effective manner. Conversely, it has raised [&hellip;]<\/p>\n","protected":false},"featured_media":502127,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13563],"msr-video-type":[238872],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-502121","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-data-platform-analytics","msr-video-type-faculty-summit","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/kaGniGFJYlI","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/502121"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/502121\/revisions"}],"predecessor-version":[{"id":548052,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/502121\/revisions\/548052"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/502127"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=502121"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=502121"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=502121"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=502121"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=502121"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=502121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}