SESSION 6
AI Infrastructure for Africa: Building AI with Limited Resources
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SHORT DESCRIPTION
This session explores the challenges and opportunities of AI infrastructure in Africa, focusing on how to develop AI solutions with limited computational resources, data access constraints, and connectivity challenges. Learn how Africa can build a sustainable AI ecosystem with innovative, cost-effective approaches.
DETAILED DESCRIPTIONI
Africa’s AI development faces unique infrastructural barriers, from limited access to cloud computing and high-performance hardware to challenges in data availability and internet connectivity. However, innovative solutions are emerging to bridge these gaps and make AI more accessible. This session will cover:
This opening keynote will feature leading AI experts, policymakers, and industry pioneers discussing:
- Building AI with limited resources – leveraging edge computing, federated learning, and low-power AI models.
- Affordable AI solutions – using open-source tools, cloud credits, and decentralized AI systems.
- Data challenges & solutions – overcoming data scarcity and ensuring responsible AI training.
- AI infrastructure in key industries – case studies from agriculture, healthcare, and finance.
- Collaborative strategies – how governments, businesses, and researchers can work together to strengthen Africa’s AI infrastructure.
This session will feature insights from AI engineers, cloud architects, and policymakers, showcasing real-world approaches to overcoming infrastructure challenges.
BENEFITS OF ATTENDING:
- Learn how to develop AI solutions with limited resources.
- Discover low-cost AI infrastructure alternatives for startups and businesses.
- Gain insights into cloud-based and decentralized AI models suited for Africa.
- Explore case studies of successful AI implementations despite infrastructure limitations.