๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ โ ๐ง๐ต๐ฒ ๐ฃ๐ฒ๐ป๐ฑ๐๐น๐๐บ ๐๐ฒ๐ฒ๐ฝ๐ ๐ฆ๐๐ถ๐ป๐ด๐ถ๐ป๐ด?!
๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ โ ๐ง๐ต๐ฒ ๐ฃ๐ฒ๐ป๐ฑ๐๐น๐๐บ ๐๐ฒ๐ฒ๐ฝ๐ ๐ฆ๐๐ถ๐ป๐ด๐ถ๐ป๐ด?!
Enterprises have long followed a familiar rhythm. A major consulting firm arrives, declares centralization the new path to efficiency; a few years later, another urges decentralization for speed and innovation. The pattern repeatsโa pendulum in motion, each swing leaving behind new org charts and transformation decks.
๐๐๐ ๐ถ๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐ฑ๐ฒ๐๐๐ถ๐ป๐ฒ๐ฑ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐๐ฎ๐บ๐ฒ ๐ฐ๐๐ฐ๐น๐ฒ?
AWS strategists Matthias Patzak and Tom Godden suggest not. In their article โCentralizing or Decentralizing Generative AI? The Answer: Both, [1] โ they propose a hybrid model that breaks the pendulum pattern. Instead of constant swings, organizations can build stability: centralizing AI foundations (governance, infrastructure, compliance) while decentralizing AI innovation across business domains.
This means the tension between control and creativity isnโt a tug-of-warโitโs a balance. Centralized data quality and model governance coexist with domain-driven experimentation and iteration. In other words, in generative AI, the answer isnโt choosing a side. Itโs designing for bothโthe foundation stays steady, innovation moves fast.
I couldn’t agree more. Innovation happens at the edges! Give your employees the foundation and platform: Innovation will happen and accelerate.
๐ง๐ต๐ฎ๐โ๐ ๐ต๐ผ๐ ๐ฒ๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ๐ ๐๐๐ผ๐ฝ ๐ฐ๐ต๐ฎ๐๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ฝ๐ฒ๐ป๐ฑ๐๐น๐๐บโ๐ฎ๐ป๐ฑ ๐๐๐ฎ๐ฟ๐ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐บ๐ผ๐บ๐ฒ๐ป๐๐๐บ.
What is your view? Happy to discuss!
Cross-posted to LinkedIn