Description

Most agricultural organizations aren't struggling to find AI tools. They're struggling to make those tools actually work.

CAST's new three-part webinar series, AI at Work in Agriculture, covers the full arc of practical AI adoption in agribusiness — from getting past simple Q&A tools to measuring real ROI. 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 addresses a distinct stage of the journey from AI experimentation to operational value.

Session 1 – Beyond the Basics: Putting AI to Real Work

Most AI use in agriculture today stops at the surface — asking ChatGPT a question, generating a report, running a quick analysis. That's a starting point, not a strategy.

Session 1 examines what it actually takes to move past simple Q&A and build AI-powered solutions that deliver measurable operational value. Dan Maycock draws on hands-on experience leading data transformation initiatives for growers, processors and supply chain operators to cover:

• Why most organizations plateau after initial AI experiments — and what it takes to move further
• Data maturity: what it means, how to assess where your organization stands and what gaps to address first
• Common implementation challenges and how to anticipate them before they stall progress
• Key considerations for scoping AI initiatives that deliver real-world results

Whether your organization is just starting to explore AI or has already run pilots that haven't yet delivered, this session provides a practical framework for what comes next.

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