In the first session of CAST’s AI at Work in Agriculture series, Dan Maycock, co-founder and CTO of Dataplai, examines what it takes to move past simple AI experimentation and build solutions that deliver real operational value across the agriculture supply chain.

Topics covered:

• Data maturity — what it means, how to assess where your organization stands, and what gaps to address first
• Why most AI initiatives stall after early experiments, and how to move further
• How to decompose complex business questions into the right data sources and use cases
• The spectrum of AI use cases, from basic Q&A to multi-agent systems
• Practical frameworks for getting started with AI in agriculture

Earn a Certificate of Completion

Complete all three sessions and take the quiz on CAST’s online learning platform to earn a certificate of completion in AI at Work in Agriculture.

→ Take the course: https://castagscience.thinkific.com/products/courses/AI-Work-in-Agriculture

→ Watch the recording: https://youtu.be/Wb5r1Pzz6cA