Your GenAI Project Needs a Data Streaming Platform

This post argues that traditional data architectures (silos, batch processing, ELT/reverse ETL) create a 'data liberation problem' that hinders Generative AI projects by providing stale or inaccessible data. It advocates for data streaming platforms as the solution, enabling real-time data flow, decoupling systems, making unstructured data AI-ready, improving data quality, and unifying ecosystems. The core technical argument is that streaming platforms allow data processing closer to the source, ensuring data is fresh and actionable for AI applications.