Real-time and Soft-AI is about bringing ML models *to* the data, instead of bringing data to machine learning. With modern microservices data platforms it’s very accessible, and now cost effective, to have data low-latency at scale and to bring models to the data.

The age of the microservices database architecture for real-time data platforms is here, evident by big tech's leaps forward in the soft AI space. How is separating compute and storage in the analytics platform: avoiding copying data between platforms; a requirement to real-time ML, to enabling AI platforms, and well as providing better data governance and saving infrastructure costs.