{"id":11607,"date":"2020-08-22T04:38:53","date_gmt":"2020-08-22T08:38:53","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11607"},"modified":"2020-08-22T04:38:53","modified_gmt":"2020-08-22T08:38:53","slug":"taming-the-tail-adventures-in-improving-ai-economics","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/taming-the-tail-adventures-in-improving-ai-economics\/11607\/","title":{"rendered":"Taming the Tail: Adventures in Improving AI Economics"},"content":{"rendered":"Originally published in a16z.com, Aug 12, 2020. AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets \u2013 which have relied on humans to navigate natural language, images, and physical space \u2013 represent a huge opportunity, potentially worth trillions of dollars globally. However, as we discussed in our previous post The New Business of AI, building AI companies that have the same attractive economic properties as traditional software can be a challenge. AI companies often have lower gross margins, can be harder to scale, and don\u2019t always have strong defensive <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/taming-the-tail-adventures-in-improving-ai-economics\/11607\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in a16z.com, Aug 12, 2020. AI has enormous potential to disrupt markets that have traditionally been out of reach for software. These markets \u2013 which have relied on humans to navigate natural language, images, and physical space \u2013 represent a huge opportunity, potentially worth trillions of dollars globally. However, as we discussed in [&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":[368,230,791,243,8],"class_list":["post-11607","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-artificial-intelligence","tag-data-analytics","tag-deep-learning","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11607","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=11607"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11607\/revisions"}],"predecessor-version":[{"id":11609,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11607\/revisions\/11609"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11607"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11607"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}