AI doesn’t fail because of models. It fails because your metadata is a mess. Learn how Siemens, GE, and Honeywell built metadata-driven foundations that make AI scale - and how to do it in your own co
The Honeywell example really drives home how metadata becomes operationl infrastructure, not just documentation. Most teams are still treating it like a nice-to-have instead of the foundational layer that makes AI actually scale. The cost savings angle is underrated too, killing off those zombie pipelines and dashboards can free up serious budget.
The Honeywell example really drives home how metadata becomes operationl infrastructure, not just documentation. Most teams are still treating it like a nice-to-have instead of the foundational layer that makes AI actually scale. The cost savings angle is underrated too, killing off those zombie pipelines and dashboards can free up serious budget.
Yeah, metadata is underrated. Especilly for AI foundation necessary.
Couldn't agree more. Metadata, the real AI backbone. Thank you!
glad you liked it