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

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

Author: Daniel Faggella May 13, 2026 Duration: 31:53
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

Hosted by Daniel Faggella, The AI in Business Podcast cuts through the technical jargon to focus on what matters for leadership. This is a conversation for executives and decision-makers who know artificial intelligence is a strategic imperative but need clarity on how to actually integrate it. The focus is squarely on identifying real-world opportunities, ensuring AI projects align with broader business goals, and ultimately demonstrating a tangible return on investment. Rather than theory, each episode delivers grounded insights through interviews conducted by Emerj's research team with top AI practitioners. Their guests come directly from the trenches of major Fortune 2000 companies and pioneering unicorn startups, sharing firsthand accounts of what works. You'll hear specific use-cases, emerging trends, and the often-overlooked best practices that separate successful adoption from costly missteps. This podcast provides a direct line to the actionable knowledge needed to make informed, confident decisions about where and how to apply AI in your organization. It’s an ongoing resource for any leader looking to move beyond the hype and translate capability into concrete business advantage.
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