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Henry Mibei
Manager, Digital Development, Africa
Canary Bird, 673 Limuru Road, Muthaiga, PO Box 633-00621, Nairobi, Kenya
Qualifications
BSc Telecommunication Engineering; Masters of Business Administration
About
I am a digital innovator and data governance specialist with over 12 years of experience across strategic areas including digitalization in agriculture and education, product innovation management, and international development project delivery.
I have worked for CABI since 2017. I currently lead the Digital Development work across Africa, working to drive the use of digital technologies for social impact and the adoption of technology in the agriculture sector. I have deployed CABI digital innovations such as early warning systems and digital tools that support decision-making in crop production and plant health.
Through the FAIR Data Process Framework, tools and resources, I am helping development partners, and public and private organizations across different sectors to realize the value of their data through responsible data stewardship. I have delivered numerous high-profile data access projects and contributed to developing data management strategies and policies for better data governance in several projects for India, Ethiopia, Tanzania, Rwanda, and Malawi.
Before CABI, I held various leadership roles in the private sector. I notably led market research and innovative product development such as the Digital Learning Service and M-Farmer Platform which connects smallholder farmers to actionable advice that supports them in their agricultural activities and sustainable farming practices.
I hold a BSc. in Telecommunications Engineering and a Master of Business Administration (MBA) from Makerere University and the University of South Wales respectively.
CABI centre: Kenya
CABI has a regional centre for Africa in Nairobi. Agriculture is essential for sub-Saharan Africa’s economic growth and yet average crop yields in Africa are among the lowest in the world. Over 80% rely on it but many face challenges in growing sufficient good quality produce.
Related projects
Generative AI for Agriculture Advisory
Generative Artificial Intelligence (GenAI) technology offers enormous potential by addressing information asymmetries and rapidly advancing research. In the agriculture sector, it can localize digital advisory messages and increase the accessibility of such messages to reduce the digital divide compared to traditional, non-AI communication methods. Using natural language processing (NLP) and large language models (LLMs) offers new potential to disseminate complex scientific information more widely, in local dialects and through various formats, transforming accessibility. This project will explore the potential to deliver advisories based on CABI’s highly curated and expert-validated resources to plant doctors and other agriculture advisors via Generative AI chatbot technology, and the data governance and licensing necessary to ensure the quality of such advisories.
Start: 15/04/24 -End: 31/12/24