#data-centric AI

Scaling AI inference requires building trust through data quality, adopting a data-centric AI factory approach, and empowering IT to govern and deploy models enterprise-wide.

Microsoft's Phi-4-reasoning demonstrates that high-quality, curated data can enable smaller AI models to perform advanced reasoning tasks as effectively as much larger models, challenging the notion that bigger models are always better.