Data architecture is key to AI success, ensuring models don’t fail

Data architecture is key to AI success, ensuring models don’t fail

Before training any AI, ask where the data is coming from. Systems without built-in sensors or feedback loops operate blindly. Today’s most advanced AI products treat data collection architecture as foundational—not an afterthought. Without strong data foundations, even the best models struggle to perform effectively or adapt to changing conditions.

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