Post by KPMG US

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Most organizations are investing in AI models, but few are redesigning how work gets done. Thatโ€™s the gap. In ๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น: ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—ฎ ๐—ณ๐˜‚๐—น๐—น-๐˜€๐˜๐—ฎ๐—ฐ๐—ธ ๐—”๐—œ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ, KPMG explores why enterprise impact doesnโ€™t come from more models or pilots. It comes from transforming the system behind them. Leading organizations: -Are moving beyond isolated use cases and embedding AI across enterprise workflows -Are prioritizing business outcomes over model-first thinking -Are scaling AI from experimentation to production-ready execution The shift isnโ€™t technical. Itโ€™s operational. A full-stack AI architecture spanning data, context, agents, and governance enables AI to function as the operating system for enterprise work. If you're focused on scaling AI beyond pilots, this is where the conversation starts. Read the full paper here: https://lnkd.in/g7vybRUX

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