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Razi Raziuddin - Why Feature Engineering Is the Real Bottleneck in AI
In this episode, Greg and Razi revisit their DataRobot roots and discuss what still hasn’t been solved in data science. FeatureByte’s data science agent tackles the messy 90% of the ML workflow: feature engineering, pipeline management, and production deployment. They debate tabular foundation models, agentic frameworks, and whether feature stores are actually being used in the real world.
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By Greg MichaelsonIn this episode, Greg and Razi revisit their DataRobot roots and discuss what still hasn’t been solved in data science. FeatureByte’s data science agent tackles the messy 90% of the ML workflow: feature engineering, pipeline management, and production deployment. They debate tabular foundation models, agentic frameworks, and whether feature stores are actually being used in the real world.