Industrial DataOps: The Backbone Of AI-Ready Manufacturing Data

By Kelly B. Scribner Doering, PhD, Consulting Industry Analyst, Axendia, Inc.

As manufacturers race to adopt AI, many are discovering that their data infrastructure isn’t ready for the leap. This article explores how Industrial DataOps is emerging as a critical framework for bridging the gap between raw industrial data and AI-driven insights. It outlines the challenges manufacturers face—like siloed systems, inconsistent data formats, and lack of context—and explains how DataOps practices can streamline data flow, improve data quality, and enable scalable analytics. With real-world examples and a clear breakdown of how DataOps supports AI readiness, this piece is a must-read for digital transformation leaders looking to future-proof their operations.

If your team is working to make manufacturing data usable, contextualized, and actionable, this article offers a practical starting point.