{"id":12082,"date":"2021-04-27T09:01:43","date_gmt":"2021-04-27T13:01:43","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12082"},"modified":"2021-05-04T10:37:57","modified_gmt":"2021-05-04T14:37:57","slug":"wise-practitioner-predictive-analytics-interview-series-gopal-erinjippurath-at-sust-global","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wise-practitioner-predictive-analytics-interview-series-gopal-erinjippurath-at-sust-global\/12082\/","title":{"rendered":"Wise Practitioner \u2013 Predictive Analytics Interview Series: Gopal Erinjippurath at Sust Global"},"content":{"rendered":"By: Eugene Kirpichov, Sasha Luccioni &amp; David Rolnick, Conference Chairs, Predictive Analytics World for Climate In anticipation of his upcoming presentation at Predictive Analytics World for Climate\u00a0Livestream, May 24-28, 2021,\u00a0we asked Gopal Erinjippurath, CTO, Head of Product at Sust Global, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Scalable Scenario Analysis Using Global Climate Models, and see what\u2019s in store at the PAW Climate conference. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: At Sust Global, we transform complex climate science to transparent <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wise-practitioner-predictive-analytics-interview-series-gopal-erinjippurath-at-sust-global\/12082\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>(more&hellip;)<\/p>\n","protected":false},"author":14304,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3,591],"tags":[],"class_list":["post-12082","post","type-post","status-publish","format-standard","hentry","category-leading-stories","category-interviews"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12082","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/14304"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12082"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12082\/revisions"}],"predecessor-version":[{"id":12118,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12082\/revisions\/12118"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12082"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12082"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12082"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}