Getting Your Organization AI-Ready: Create a Data Architecture to Support AI (Part three in a three-part series)

Yet there's also no point in accessing richer sources of data unless you have an architecture that can consume it. An AI-ready architecture is able to address different shapes and granularities of data such as transactions, logs, geospatial information, sensors and social. In addition, real-time time-series data is key to the constant feed of input that propels data-driven devices, from smart-home appliances and health devices to self-driving cars. Make sure your AI architecture has the capability to consume different data structures in different time dimensions, especially real time. Is your organization identifying and classifying data at the point of ingestion?