Summary

"AI-centric" data processing focuses on preparing and managing large-scale, multimodal datasets efficiently for AI model training, fine-tuning, and deployment, rather than traditional database queries. It involves optimizing computation across heterogeneous resources (CPUs/GPUs), improving data flow efficiency, and enabling scalability—all crucial for building next-generation AI models.

Data Problems Addressed