Why Enterprise AI Runs on Data Streaming

What this post added

This post argues that data streaming is the foundational technology for enterprise AI, enabling AI use cases by providing real-time, trustworthy, and accessible data. It contrasts traditional batch data processing with data streaming's advantages for AI, such as instant actionability, early data quality issue detection, and architectural simplification. The post highlights how data streaming shifts the data strategy upstream to operational estates and supports trends like becoming a software company and the blurring of operational and analytical data estates with technologies like Tableflow. It provides real-world examples of AI powered by streaming data in fraud detection, retail, and manufacturing, and introduces the Data Streaming Organization (DSO) framework to guide enterprise adoption of data streaming for AI.