\u201cBuild or buy\u201d is often framed as a technology argument, but the real decision is about where the organization wants to own differentiation, risk, and operating responsibility. A packaged generative-AI product can deliver value quickly because the vendor owns much of the model integration, user experience, and service operation.<\/p>\n
A custom application can fit a proprietary workflow more closely, combine private data with business logic, and give the organization more control over evaluation and release. Most organizations will use several of these patterns at once.<\/p>","protected":false},"excerpt":{"rendered":"
\u201cBuild or buy\u201d is often framed as a technology argument, but the real decision is about where the organization wants to own differentiation, risk, and operating responsibility. A packaged generative-AI product can deliver value quickly because the vendor owns much of the model integration, user experience, and service operation. A custom application can fit a proprietary workflow more closely, combine private data with business logic, and give the organization more control over evaluation and release. Most organizations will use several of these patterns at once.<\/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-12005","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