16 July 2026 | 15:00-15:45 CEST
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This first webinar in the Platform’s AI knowledge exchange series explores how artificial intelligence is applied in agrifood systems, highlighting a practical example from GAIN to improve nutrition outcomes.
Artificial intelligence (AI) is rapidly transforming agrifood systems, offering new opportunities to strengthen food security, improve nutrition, and support rural development. However, donors and development partners face challenges in translating this potential into practice, including ensuring responsible data governance, addressing inequalities in access, and identifying effective entry points for investment and collaboration.
| Provisional Agenda | |
|---|---|
| 15:00 - 15:05 | Welcome and Scene-Setting
|
| 15:05 - 15:25 | Introduction: GAIN’s AI Strategy in Practice Brief overview of GAIN’s AI Strategy Concrete case studies
Implications for donors
|
| 15:25 – 15:40 | Interactive Q&A with audience |
| 15:40 – 15:45 | Closing and key takeaways
|
The webinar aims to:
- Showcase a practical, real-world example: Global Alliance for Improved Nutrition (GAIN)’s Strategy for Harnessing AI in Programmes
- Illustrate how AI can be applied across food systems to improve diets and nutrition outcomes
- Highlight concrete case studies, partnerships, and lessons learned
- Identify entry points and implications for donors, including opportunities for coordination and scaling
- Foster interactive discussion among Platform members
Participants will gain:
- A clear understanding of how AI can be operationalized in nutrition and food systems programming
- Insights into enabling conditions (data, partnerships, governance) for successful AI use
- Practical ideas for integrating AI into donor strategies and programmes
- Opportunities for collaboration within the Platform’s workstream
Register now for the 45-minute interactive conversation with Alessandra Roversi (Programme Officer, Food Systems Section, Swiss Agency for Development and Cooperation), Mduduzi Mbuya, (Director, Knowledge Leadership, GAIN) and Ty Beal (Senior Technical Specialist and global nutrition scientist, GAIN).
