Generative AI portfolios become expensive when every interesting idea is treated as a project. The better starting point is a business problem with a measurable outcome.<\/p>\n
Google Cloud\u2019s current guidance for defining AI use cases follows the same logic: identify the business goal first, work backward from the desired result, and then decide whether generative AI is the right capability. That approach protects teams from building polished demonstrations that never become useful work.<\/p>","protected":false},"excerpt":{"rendered":"
Generative AI portfolios become expensive when every interesting idea is treated as a project. The better starting point is a business problem with a measurable outcome. Google Cloud\u2019s current guidance for defining AI use cases follows the same logic: identify the business goal first, work backward from the desired result, and then decide whether generative AI is the right capability. That approach protects teams from building polished demonstrations that never become useful work.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2226,2179],"tags":[],"class_list":["post-12006","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning","category-google"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t