Webinar Series: AI at Work in Agriculture. Session 3 — Case Studies in AI
CAST’s new three-part webinar series, AI at Work in Agriculture, explores the full arc of practical AI adoption in agribusiness—from moving beyond simple Q&A tools to measuring real return on investment.
Led by Dan Maycock—co-founder and CTO of Dataplai, visiting researcher at NC State University, and member of the FCC’s Precision Ag Connectivity Task Force—each session focuses on a key stage in the journey from AI experimentation to operational value.
All sessions are free and open to all, and each stands on its own. Attend one or all three.
Participants who attend all three sessions and complete the course on CAST’s online platform will earn a Certificate of Completion in AI at Work in Agriculture, shareable on LinkedIn and within their organizations.
Session 3 — Case Studies in AI
The question isn’t whether AI is being used in agriculture—it’s who’s using it, how, and what they’re getting out of it.
In this final session, Dan Maycock explores real-world AI deployments across agribusiness, including:
- Which commodity use cases are gaining traction
- How organizations across the supply chain are measuring value
- What separates successful initiatives from those that fail to deliver
Register – Session 3
More About the Speaker
Dan Maycock
Co-founder & CTO, Dataplai | Visiting Researcher, NC State University | Member, FCC Precision Ag Connectivity Task Force
Dan Maycock is co-founder and CTO of Dataplai, an AI and data consulting firm serving the agriculture and food industries. With roots in a small farming town and more than two decades of experience across enterprise technology, consulting, and agtech, he has led data transformation initiatives for growers, processors, and supply chain operators across the U.S.
He is a published author, visiting researcher at NC State University, and a member of the FCC’s Precision Ag Connectivity Task Force. He holds degrees from Washington State University and Carnegie Mellon University.