{"id":190889,"date":"2014-05-21T00:00:00","date_gmt":"2014-05-21T17:54:47","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/keynote-big-data-and-enterprise-analytics\/"},"modified":"2016-10-03T16:12:04","modified_gmt":"2016-10-03T23:12:04","slug":"keynote-big-data-and-enterprise-analytics","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/keynote-big-data-and-enterprise-analytics\/","title":{"rendered":"Keynote: Big Data and Enterprise Analytics"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Chair: Evelyne Viegas, Microsoft Research Speaker: Surajit Chaudhuri, Distinguished Scientist, Microsoft Research<\/p>\n<p>In this talk, I will describe the key secular trends that characterize the field of Big Data with respect to enterprise analytics. I will describe some of the open challenges for enterprise analytics in the context of Big Data. Although some of these problems are not new, their importance is amplified by Big Data. As an example, we will discuss the task of data exploration and leveraging unstructured data for enterprise analytics.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chair: Evelyne Viegas, Microsoft Research Speaker: Surajit Chaudhuri, Distinguished Scientist, Microsoft Research In this talk, I will describe the key secular trends that characterize the field of Big Data with respect to enterprise analytics. I will describe some of the open challenges for enterprise analytics in the context of Big Data. Although some of these [&hellip;]<\/p>\n","protected":false},"featured_media":198356,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-190889","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/jI86LOZZh7s","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190889"}],"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":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190889\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/198356"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=190889"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=190889"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=190889"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=190889"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=190889"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=190889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}