AI for Impact at Scale: Supply Chains, Fraud Fight and Community Wins

Across low- and middle-income countries (LMICs) in Africa, South Asia and Southeast Asia, innovators are leveraging AI to address long-standing development challenges, from improving agricultural yields and maternal health outcomes to enabling climate-smart practices and advancing digital inclusion.

This session draws on insights from the GSMA’s recent study, AI for Impact at Scale: Case studies from innovators in low- and middle-income countries, to explore the value of AI in driving efficiency, expanding access and enhancing service quality.

In this session, we:
✅ Provide an overview of AI use cases across key sectors explored in the research.

✅ Examine the users, value and last-mile impact of innovative AI solutions across LMICs.

✅ Break down the key components of impactful AI solutions, including non-technical, technical and use case building blocks.

✅ Feature a discussion with Dorron Mottes and Thalia Pillay, innovators highlighted in the research, on the opportunities and challenges of deploying AI in retail digitalisation, embedded finance and fraud prevention in emerging markets.

✅ Explore the next steps and support needed to build an ecosystem that enables impactful AI solutions.

Watch the session discussing how artificial intelligence can accelerate global development.