# Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand

Page: https://stenobird.com/podcast/the-ai-in-business-podcast-168928/why-manufacturing-s-most-valuable-data-isn-t-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand
Text version: https://stenobird.com/podcast/the-ai-in-business-podcast-168928/why-manufacturing-s-most-valuable-data-isn-t-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand.md
Podcast: [The AI in Business Podcast](https://stenobird.com/podcast/the-ai-in-business-podcast-168928)
Published: 2026-05-13T15:00:00+00:00
Episode link: https://podcast.emerj.com/why-manufacturings-most-valuable-data-isnt-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand
Audio file: https://traffic.libsyn.com/secure/techemergence/Business_-_5.13.26_-_Anand_Gnanamoorthy.mp3?dest-id=151434
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Duration seconds: 1913

## Resource

A significant share of manufacturing knowledge still lives in the heads of retiring workers, and the window to capture it is closing as operations push toward AI-enabled ways of working. In this episode, Anand Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, examines how manufacturers can digitize tribal knowledge, structured operational data, and decades of unstructured archives before that context disappears. The discussion covers separating data, insights, and decision-making across AI deployments; tapping messy, unstructured data without over-cleaning it; anchoring use cases to the frontline worker rather than the process; and treating every AI project as permanently in pilot mode. This episode is sponsored by Poka . Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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