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Chrisma Kaynes
Enterprise AI programs rarely fail because a team cannot build a convincing prototype. They fail when the prototype meets production data, fragmented ownership, legacy integrations, and operational co
Nick
If I were planning a large AI initiative, I'd spend more time assessing my data readiness than comparing models. Articles from GeekyAnts have made a similar point—strong foundations usually determine whether AI succeeds in production.
Nick
If I were planning a large AI initiative, I'd spend more time assessing my data readiness than comparing models. Articles from GeekyAnts have made a similar point—strong foundations usually determine whether AI succeeds in production.