Gartner®: Manufacturing CIO’s Guide to Industrial AI Data Readiness

Get your copy! We believe this is essential reading for any forward-thinking manufacturing CIO looking to build AI-ready data foundations, eliminate data silos, unify IT and OT governance, and scale industrial AI across their organization.

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
Consent
For information about how Qohash handles your personal data, please see our Privacy Policy.

Woo-hoo! Check your inbox for the Gartner report!

Discover Qostodian Read our blogs

Our takeaways from inside the report

The data readiness gap holding back industrial AI

The Gartner 2024 AI Mandates for Enterprises Survey revealed that over 50% of AI projects are failing to reach production and that data issues are blocking 40% of initiatives

Building a unified IT/OT data foundation

Learn how manufacturing CIOs can bridge the divide between IT and operational technology (OT) through unified data governance, common data objects, and semantic frameworks that enable AI to scale across lines, locations, and sites.

Edge data curation and industrial standards

Structured frameworks such as Unified Namespaces (UNSs) provide for unifying data structures. In addition, interfaces like MQTT and OPC UA are critical for efficient operational data exchange to support the quality observation and representative industrial data that is digested by AI applications.

Measuring and advancing your AI data readiness

Discover a practical scoring framework and concrete success metrics – from AI project production rates to governance compliance – that help CIOs benchmark progress and demonstrate measurable business outcomes.

Get your copy!

We believe this is essential reading for any forward-thinking manufacturing CIO looking to build AI-ready data foundations, eliminate data silos, unify IT and OT governance, and scale industrial AI across their organization.

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
Consent
For information about how Qohash handles your personal data, please see our Privacy Policy.
“CIOs need to handle the high diversity of industry- and manufacturing-specific data from the industrial edge, often unstructured and incompatible with the requirements of highly representative data for AI use cases.”
Gartner®: Manufacturing CIO’s Guide to Industrial AI Data Readiness

Woo-hoo! Check your inbox for the Gartner report!

Get a demo Discover Qostodian

Disclaimer

Gartner, Manufacturing CIO’s Guide to Industrial AI Data Readiness, Bettina Tratz-Ryan, 18 December 2025

GARTNER is a trademark of Gartner, Inc. and/or its affiliates. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.