{"id":9769,"date":"2018-10-29T14:31:44","date_gmt":"2018-10-29T18:31:44","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=9769"},"modified":"2018-10-29T14:31:44","modified_gmt":"2018-10-29T18:31:44","slug":"building-a-diverse-workforce-for-next-generation-analytics-and-ai","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-a-diverse-workforce-for-next-generation-analytics-and-ai\/9769\/","title":{"rendered":"Building a Diverse Workforce for Next-Generation Analytics and AI"},"content":{"rendered":"Originally published in HPCWire, October 15, 2018 High-performance computing (HPC) has a well-known diversity problem, and groups such as Women in HPC are working to address it. But while the diversity challenge crosses the science and technology spectrum, it is especially acute in areas of HPC where breakthroughs are driven by extracting insights from data. The deluge of data, with the convergence of simulation and artificial intelligence (AI) workloads, and the development of exascale computers, will all increase the opportunities to generate data and derive value from it. Taking advantage of those opportunities is not just a matter <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/building-a-diverse-workforce-for-next-generation-analytics-and-ai\/9769\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in HPCWire, October 15, 2018 High-performance computing (HPC) has a well-known diversity problem, and groups such as Women in HPC are working to address it. But while the diversity challenge crosses the science and technology spectrum, it is especially acute in areas of HPC where breakthroughs are driven by extracting insights from data. [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-9769","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9769","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=9769"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9769\/revisions"}],"predecessor-version":[{"id":9771,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9769\/revisions\/9771"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=9769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=9769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=9769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}