{"id":1167,"date":"2024-02-29T11:05:16","date_gmt":"2024-02-29T11:05:16","guid":{"rendered":"https:\/\/hello.inherentknowledge.org\/2024\/2024\/02\/29\/the-roi-in-ai-and-how-to-find-it\/"},"modified":"2024-02-29T11:05:16","modified_gmt":"2024-02-29T11:05:16","slug":"the-roi-in-ai-and-how-to-find-it","status":"publish","type":"post","link":"https:\/\/hello.inherentknowledge.org\/2024\/2024\/02\/29\/the-roi-in-ai-and-how-to-find-it\/","title":{"rendered":"The ROI in AI (and how to find it)"},"content":{"rendered":"<p>By 2030, companies will spend $42 billion a year on generative artificial intelligence (genAI) projects such as chatbots, research, writing, and summarization tools. And while the technology has been heralded as a boon to productivity,\u00a0nailing down a return on investment (ROI) in genAI could prove to be elusive.<\/p>\n<p>\u201cCapturing and measuring the exact productivity improvements has been a challenge for many of our clients,\u201d said Rita\u00a0Sallam, a distinguished vice president analyst at Gartner. \u201cFor [genAI], we are not saying that finding ROI may be difficult, but expressing ROI has been difficult because many benefits like productivity\u2026have indirect or non-financial impacts that create financial outcomes in the future.&#8221;<\/p>\n<p class=\"jumpTag\"><a href=\"https:\/\/www.computerworld.com\/article\/3713340\/the-roi-in-ai-and-how-to-find-it.html#jump\">To read this article in full, please click here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By 2030, companies will spend $42 billion a year on generative artificial intelligence (genAI) projects such as chatbots, research, writing, and summarization tools. And while the technology has been heralded as a boon to productivity,\u00a0nailing down a return on investment (ROI) in genAI could prove to be elusive. \u201cCapturing and measuring the exact productivity improvements [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1167","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts\/1167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/comments?post=1167"}],"version-history":[{"count":0,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts\/1167\/revisions"}],"wp:attachment":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/media?parent=1167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/categories?post=1167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/tags?post=1167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}