The Modern Data Stack Is Broken — Here’s How to Fix It With AI, Governance, and Real Architecture
The traditional data stack is insufficient for modern AI workloads, which require handling unstructured data, real-time embeddings, and robust lineage tracking. A new 'Platinum' or AI-native layer is proposed, extending the Medallion architecture to pre-materialize features and compute embeddings for AI models. This approach ensures AI readiness from the outset, preventing painful retrofitting and enabling crucial auditability for AI predictions. AI
IMPACT Proposes a new 'Platinum' layer for data architectures to better support AI workloads, emphasizing real-time embeddings and lineage.