Description

Data protection. Information ownership. Cost management. The gap between a proof of concept and a return on investment.

These are the concerns that stall AI initiatives in agriculture — and they don't get resolved by adding more tools.

In the second session of CAST's AI at Work in Agriculture series, Dan Maycock, co-founder and CTO of Dataplai, takes on the issues organizations most frequently encounter when moving AI from pilot to production:

• Data protection and security
• Data and information ownership
• Cost management
• Distinguishing proof-of-concept work from ROI-driven solutions

Free to attend. Attending all three sessions? Complete the course on CAST's online platform to earn a certificate of completion in AI at Work in Agriculture.

→ Register: https://streamyard.com/watch/fVz36mSFwmQP