Transparency for AI Systems, Regulations, and Humans in Agricultural Manufacturing - with Kun He of Bayer

Transparency for AI Systems, Regulations, and Humans in Agricultural Manufacturing - with Kun He of Bayer

Author: Daniel Faggella December 16, 2025 Duration: 35:24

Today's guest is Kun He, Lead Scientific Advisor at Bayer Crop Science. He joins Emerj Editorial Director Matthew DeMello to discuss how AI is transforming human talent and workforce development in agricultural manufacturing, balancing data-driven efficiency with the irreplaceable role of human gut instinct. Kun also explores practical takeaways, such as integrating genotyping and phenotyping data to accelerate crop-breeding workflows, empowering breeders to drive "step change" innovations, and treating AI as a co-pilot to check biases while prioritizing customer needs for blockbuster R&D outcomes. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!


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.
Author: Language: English Episodes: 100

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