as outlined by Vogue<\/a>, were:<\/p>\nAI is being used in fashion<\/em><\/strong>
\n\u201cAmazon\u2019s fashion lab has machines creating new fashion. That\u2019s right, machine fashion designers.\u201d – Caroline O\u2019Brien<\/p>\nAI finds tasks humans find hard, easy and vice versa<\/strong><\/em>
\n\u201cMachines are better at things that humans find really difficult. But they can\u2019t do simple things, like pick things up. For example, in finance, trading is now largely algorithmic. Creativity is harder to do away with.\u201d – Samantha Wong<\/p>\nAI requires teamwork<\/strong><\/em>
\n\u201cTo make effective AI products requires many different skill sets. Diversity in AI teams is really important and there is a role for many different backgrounds within them.\u201d – Caroline O\u2019Brien<\/p>\nAI is moving towards reading human emotions better than humans<\/strong><\/em>
\n\u201cOur digital humans are hyper-realistic. They\u2019re really perceived as more engaging, more effective, not only because of AI and emotional intelligence but also voice, video, text, image in one interaction. For example, if I text my boyfriend that \u2018I\u2019m fine\u2019 he doesn\u2019t know if I\u2019m really fine without my inflection.\u201d – Rachael Rekart, on pioneering digital humans.<\/p>\nAll in all, it was a valuable opportunity to explain a topic that many still find mystifying, and to use Afiniti as an example of how a diverse, cohesive team makes an AI product successful.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Last week, Caroline O\u2019Brien, VP of Data Science at Afiniti, spoke on the artificial intelligence panel at the Vogue Codes Sydney Summit. Joined by Rachael Rekart of Soul Machines and Samantha Wong of Blackbird Ventures, Caroline and her fellow panelists sought to decode and demystify AI for the audience. Four major learnings, as outlined by […]<\/p>\n","protected":false},"author":7,"featured_media":13078,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[42],"tags":[32],"class_list":["post-6154","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-leader-insights","tag-latest-thinking"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/posts\/6154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/comments?post=6154"}],"version-history":[{"count":1,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/posts\/6154\/revisions"}],"predecessor-version":[{"id":6155,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/posts\/6154\/revisions\/6155"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/media\/13078"}],"wp:attachment":[{"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/media?parent=6154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/categories?post=6154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/staging.afiniti.com\/api\/wp\/v2\/tags?post=6154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}