From AI Idea to Practice: The Decisions
This session brings together three organizations working at different points in the AI implementation stack: speech recognition for low-resource African languages, agentic AI in a scaled maternal health platform, and a generative AI tool for community health workers in Zanzibar. Each has moved from ideas to pilots to real-world deployment, and each has faced decisions that shaped their systems.
Rather than showcasing results, this session surfaces the decisions behind the AI solutions: where to draw the agentic boundary, who counts as the user, what accuracy threshold justifies deployment, and how co-design changes what you actually create.
Participants will leave with sharper thinking for the implementation decisions they might already be facing.
Speakers
Aika is an Advisor at Dalberg Design, supporting businesses, governments, and nonprofits in emerging geographies to reach underserved markets through human-centered product and service design. She works at the intersection of design, social impact, and global health, bringing a mixed-methods approach to uncover deep insights and drive meaningful innovation.
Her work spans the full health system, from community health workers to national Ministries of Health, including the design of AI solutions that enhance care delivery. She has partnered with organizations including the Bill & Melinda Gates Foundation, Wellcome Trust, WHO, AMREF, and Mastercard Foundation. Previously, as Africa Design Manager at Medic Mobile, she led digital tools supporting community-based care across six countries, and earlier founded Jacaranda Health's Technology department, where she developed the Prompts application now reaching over 1 million women across 1,000 health facilities in Kenya.
She is an Acumen East Africa Fellow with a Bachelor's in Computational Biochemistry and a Postgraduate Certificate in Health Informatics.
Abbas Wandella is a Senior Digital Health and Health Informatics Specialist with over a decade of experience leading national and regional digital health initiatives across Sub-Saharan Africa. He specializes in advancing interoperable digital health ecosystems, strengthening data governance, and enabling the use of AI-ready data to support evidence-based decision-making and equitable service delivery.
He has advised governments and development partners on digital health strategy, system architecture, and the large-scale implementation of clinical and public health platforms. His work centers on aligning technology with policy, institutional capacity, and frontline service delivery to achieve scalable and sustainable impact.
Abbas has contributed to the design and rollout of national digital health systems, supporting the transition from fragmented legacy platforms to integrated, interoperable architectures. He is recognized for bridging technical, clinical, and policy domains to drive effective and resilient digital transformation in health systems.
He holds a Master of Science in Health Informatics and professional certifications in project management and enterprise architecture
Nelson Mganga is a Data Scientist with a strong foundation in Statistics and Development Economics. His work with the International Food Policy Research Institute focuses on designing and deploying Automatic Speech Recognition and Natural Language Processing tools for low-resource languages.
Nelson's recent work, a collaboration with Farm Radio International, has been centered on building speech and language technologies tailored to agricultural contexts, with the goal of expanding access to advisory services and empowering rural communities.
Nelson’s work bridges advanced AI research with practical, scalable solutions that drive inclusive development.
Benjamin Mulyungi is the Head of Technology at Jacaranda Health, where he engineers AI-driven solutions to revolutionize maternal and newborn outcomes across Sub-Saharan Africa. A specialist in HL7 FHIR and cloud-native architectures, Benjamin has spent nearly a decade building interoperable systems like OpenSRP 2.0 that bridge the gap between patients and providers in low-resource settings. From leading technical strategy to scaling PROMPTS and PULSE, he thrives at the intersection of complex engineering and human-centered impact, ensuring every birth is dignified and every system is built for sustainable, global change.
Submissions
From AI Idea to Practice: The Decisions
Session Type
Breakout Sessions
Description
Theme: Data Theme: Charting the Future of Data in Development and Humanitarian Response. Explore the rapidly shifting data landscape – from AI’s potential and pitfalls to challenges associated with responsible data sharing, interoperability, and the power dynamics in data collection and use.Primary Tag: Artificial Intelligence (AI)
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