{"podcast":{"title":"The AI in Business Podcast","slug":"the-ai-in-business-podcast-168928","podcast_index_feed_id":168928,"rss_url":"https://techemergence.libsyn.com/rss","website_url":"http://emerj.com","image_url":"https://static.libsyn.com/p/assets/9/c/2/2/9c226d0d338dd5bed959afa2a1bf1c87/1.png","author":"Daniel Faggella","episode_count":1163,"summary":"The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise","last_synced_at":"2026-07-04T00:20:08.438260+00:00","page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928"},"episode":{"title":"Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand","slug":"why-manufacturing-s-most-valuable-data-isn-t-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand","published_at":"2026-05-13T15:00:00+00:00","page_url":"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","show_page_url":"https://stenobird.com/podcast/the-ai-in-business-podcast-168928","url":"https://podcast.emerj.com/why-manufacturings-most-valuable-data-isnt-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand","audio_url":"https://traffic.libsyn.com/secure/techemergence/Business_-_5.13.26_-_Anand_Gnanamoorthy.mp3?dest-id=151434","summary":"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","meta_description":"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 to…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1913,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-ai-in-business-podcast-168928/episodes/why-manufacturing-s-most-valuable-data-isn-t-in-any-system-with-anand-gnanamoorthy-of-ingersoll-rand/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"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","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}