We were grateful to join a lively discussion on the power of data to scale high integrity impact in long tail markets at the inaugural FeiFest - jointly organised by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Stanford Club of Singapore, with support from PeakXV and GFTN, around a visit by Fei Fei Li, the godmother of AI and a co-director of Stanford HAI.

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Together with Stanford professor and co-director of Stanford HAI James Landay, a leading global expert in human-computer interactions, and fellow Southeast Asian founder Stephanie Sy, our CEO Joanna Yeo participated in a dynamic discussion on how a human centred approach is critical to scaling effective AI and ML solutions for long tail impact in underserved markets.

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We are proud to be part of an ecosystem that is pioneering advancements and thoughtfully addressing the complexities of developing and implementing game-changing innovations like large language models and generative AI‍, in a way that empowers and augments human potential - from at-home caregivers to microlending loan officers and farmers in emerging markets.

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Beyond well-known climate challenges, the World Bank projects a significant job shortage of 800 million for new graduates in the Global South within the next ten years. The development and direction of transformative fields like generative AI at this early stage will have critical, long-lasting effects on the environment, social mobility, and political stability for generations.

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At Arukah, we're building structured datasets from the ground up to capture the otherwise manual activities of farmers and agribusinesses in last-mile agricultural supply chains, including a first in market spatial AI dataset for biochar, and a first in market farmer-level dMRV and payments dataset for household biogas.

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We are now testing ML and computer vision models for first in market performance management and risk assessment systems in last mile agriculture - watch this space!

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If you are an AI / ML researcher and would like to collaborate on model fitting for our novel datasets, please do reach out at pathbreakers@arukahcapital.com.