AI breaks the data stack. Most enterprises spent the past decade building sophisticated data stacks. ETL pipelines move data into warehouses. Transformation layers clean data for analytics. BI tools surface insights to users. This architecture worked for traditional analytics. But AI demands something different. It needs continuous feedback loops. It requires real-time embeddings & context retrieval. Consider a customer at an ATM withdrawing pocket money. The AI agent on their mobile app need...
