Unifying Enterprise AI/ML: Architecture, Governance, and Path from Data Fragmentation to Production

This talk explores unified cloud data analytics platforms as a solution to fragmented AI/ML ecosystems, focusing on shared storage, governance, batch-streaming convergence, and machine learning. It compares major enterprise platforms across key AI/ML capabilities and presents a governance-first migration framework for improving data quality, reproducibility, and operational efficiency.