{"id":165174,"date":"2023-06-05T10:23:04","date_gmt":"2023-06-05T15:23:04","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/06\/the-ai-hype-cycle-is-distracting-companies"},"modified":"2023-06-05T10:23:04","modified_gmt":"2023-06-05T15:23:04","slug":"the-ai-hype-cycle-is-distracting-companies","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/06\/the-ai-hype-cycle-is-distracting-companies","title":{"rendered":"The AI Hype Cycle Is Distracting Companies"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/the-ai-hype-cycle-is-distracting-companies3.jpg\"><\/a><\/p>\n<p>Machine learning has an \u201cAI\u201d problem. With new breathtaking capabilities from generative AI released every several months \u2014 and AI hype escalating at an even higher rate \u2014 it\u2019s high time we differentiate most of today\u2019s practical ML projects from those research advances. This begins by correctly naming such projects: Call them \u201cML,\u201d not \u201cAI.\u201d Including all ML initiatives under the \u201cAI\u201d umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. For most ML projects, the term \u201cAI\u201d goes entirely too far \u2014 it alludes to human-level capabilities. In fact, when you unpack the meaning of \u201cAI,\u201d you discover just how overblown a buzzword it is: If it doesn\u2019t mean artificial general intelligence, a grandiose goal for technology, then it just doesn\u2019t mean anything at all.<\/p>\n<p>Page-utils class= article-utils\u2014vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007\/03\/31:999.357346 data-title= The AI Hype Cycle Is Distracting Companies data-url=\/2023\/06\/the-ai-hype-cycle-is-distracting-companies data-topic= AI and machine learning data-authors= Eric Siegel data-content-type= Digital Article data-content-image=\/resources\/images\/article_assets\/2023\/06\/Jun23_02_Skizzomat-383x215.jpg data-summary=<\/p>\n<p>By focusing on sci-fi goals, they\u2019re missing out on projects that create real value right now.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning has an \u201cAI\u201d problem. With new breathtaking capabilities from generative AI released every several months \u2014 and AI hype escalating at an even higher rate \u2014 it\u2019s high time we differentiate most of today\u2019s practical ML projects from those research advances. This begins by correctly naming such projects: Call them \u201cML,\u201d not \u201cAI.\u201d [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,6],"tags":[],"class_list":["post-165174","post","type-post","status-publish","format-standard","hentry","category-business","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/165174","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=165174"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/165174\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=165174"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=165174"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=165174"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}