{"id":12322,"date":"2023-01-11T14:42:46","date_gmt":"2023-01-11T13:42:46","guid":{"rendered":"https:\/\/www.ifabfoundation.org\/?p=12322"},"modified":"2023-01-19T11:20:11","modified_gmt":"2023-01-19T10:20:11","slug":"a-perspective-from-industry-on-machine-learning-in-earth-system-science-a-panel-discussion-scheduled-on-january-18th","status":"publish","type":"post","link":"https:\/\/www.ifabfoundation.org\/en\/2023\/01\/11\/a-perspective-from-industry-on-machine-learning-in-earth-system-science-a-panel-discussion-scheduled-on-january-18th\/","title":{"rendered":"&#8220;A perspective from industry on machine learning in Earth System science&#8221;: a panel discussion scheduled on January 18th"},"content":{"rendered":"<p>2023 sees the launch of the <a href=\"\/?p=11638\" target=\"_blank\" rel=\"noopener\">MOOC &#8220;Machine learning in weather and climate&#8221;<\/a> focused on the opportunities offered by <strong>Machine Learning<\/strong> in the <strong>meteorological field. <\/strong>The MOOC (Massive Open Online Course) is promoted by <a href=\"https:\/\/www.ecmwf.int\/\" target=\"_blank\" rel=\"noopener\">ECMWF<\/a> in partnership with IFAB.<\/p>\n<p>As part of this course, an important <strong>panel discussion<\/strong> &#8211; \u201c<em>A perspective from industry on machine learning in Earth System science<\/em>\u201d &#8211; is scheduled on January 18th: three IFAB members \u2014 <a href=\"https:\/\/www.bip-group.com\/it\/\" target=\"_blank\" rel=\"noopener\">BIP<\/a>, <a href=\"https:\/\/leitha.eu\/\" target=\"_blank\" rel=\"noopener\">Leith\u00e0 Unipol<\/a> and <a href=\"https:\/\/www.crif.it\/\" target=\"_blank\" rel=\"noopener\">CRIF<\/a> \u2014 will present important <strong>practical applications<\/strong> of Machine Learning in Weather and Climate technologies carried out by SMEs and companies.<\/p>\n<h4>Watch the panel recording:<\/h4>\n<p><iframe class=\"lazyload\" width=\"660\" height=\"415\" data-src=\"https:\/\/www.youtube-nocookie.com\/embed\/Sf14Hlt3vzY\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe><\/p>\n<h4>Presentations:<\/h4>\n<p><strong>\u25ba Presentation #1 &#8211; &#8220;<em>Weather data empowering ML-based decision-making processes<\/em>&#8220;<\/strong><br \/>\nUse case presented by <strong>Alessandro Volpe<\/strong>, Data Science Competence Manager @BIP xTech Italy<\/p>\n<p><strong>\u25ba Presentation #2 &#8211; &#8220;<em>Machine Learning &amp; Weather &#8211; Climate<\/em>&#8220;<\/strong><br \/>\nUse case presented by <strong>Filippo Della Casa<\/strong>, Head of Data Science @ Leith\u00e0 (Unipol Group)<\/p>\n<p><strong>\u25ba Presentation #3 &#8211; &#8220;<em>Natural catastrophe risk scores for motor vehicle insurance<\/em>&#8220;<\/strong><br \/>\nUse case presented by <strong>Paolo Gambetti<\/strong>, Data Science Leader @CRIF<\/p>\n<p>Following the presentations, <strong>Peter Dueben<\/strong> (Head of Earth System Modelling Section @ECMWF) will moderate a Q&amp;A debate.<\/p>\n<p>\u2014<\/p>\n<h4>Do you want to know more about the MOOC?<\/h4>\n<p>\u2705 Participation is free<br \/>\n\ud83d\udc65 Open to anyone interested in the topics<br \/>\n\ud83d\udcbb 36 hours of e-learning training, with webinars, podcasts, in-depth videos and practical cases<br \/>\n\ud83d\udcc3 Certificate of participation at the end of each module<br \/>\n\u25ba Find out more <a href=\"https:\/\/lms.ecmwf.int\/pages\/index.html\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>2023 sees the launch of the MOOC &#8220;Machine learning in weather and climate&#8221; focused on the opportunities offered by Machine Learning in the meteorological field. The MOOC (Massive Open Online Course) is promoted by ECMWF in partnership with IFAB. As part of this course, an important panel discussion &#8211; \u201cA perspective from industry on machine&#8230;<\/p>\n","protected":false},"author":1,"featured_media":12441,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[28],"tags":[],"class_list":["post-12322","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>&quot;A perspective from industry on machine learning in Earth System science&quot;: a panel discussion scheduled on January 18th - IFAB International Foundation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ifabfoundation.org\/en\/2023\/01\/11\/a-perspective-from-industry-on-machine-learning-in-earth-system-science-a-panel-discussion-scheduled-on-january-18th\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"&quot;A perspective from industry on machine learning in Earth System science&quot;: a panel discussion scheduled on January 18th - IFAB International Foundation\" \/>\n<meta property=\"og:description\" content=\"2023 sees the launch of the MOOC &#8220;Machine learning in weather and climate&#8221; focused on the opportunities offered by Machine Learning in the meteorological field. The MOOC (Massive Open Online Course) is promoted by ECMWF in partnership with IFAB. 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