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70% to 80% of ML Budgets Are Wasted on Data Cleanup. Here’s Why.

Up to 80% of the budget and time in custom ML projects goes into cleaning up chaotic historical data. Despite hundreds of modern tools, getting data ready remains the fundamental bottleneck in real-world infrastructure.

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