AI in Emerging Markets Conference Sessions

The African AI developer community is one of the fastest-growing in the world and is rapidly evolving. In this session, we’ll explore the opportunities and challenges of investing in human capital and addressing a community that mostly learns through non-traditional pathways.

Artificial intelligence, machine learning, and data science have become the most powerful and forward-looking forces in technology.

AI applications are booming, and transforming Latin America. In this session, top technology influencers in Latin America congregate for the first time to discuss opportunities in technology, AI, and the state of the developer community in the region.

Dive deeper into space and Earth research opportunities in emerging markets. The discussion will focus on the requirements and collaboration needed to create many more citizen scientists, nudge population-scale behaviour, and solve climate problems.

This session will cover both the imperative and steps needed to harness AI so developing nations can stay relevant and competitive in a global digital economy.  We’ll focus on the importance of investing in the local AI ecosystem, developing the next generation of AI leaders and scientists, and how to build a high-capacity national AI infrastructure to advance digital sovereignty.

Community leaders from Nigeria, South Africa, Kenya, and Zimbabwe will discuss Africa's developer ecosystems. They'll touch on the value of developer communities, some of the barriers African developers face, and the role technology companies such as NVIDIA play. They’ll also discuss their thoughts on the future of technology in Africa and how communities are bridging the gap between then and now.

With the increasing adoption of fintech in Sub-Saharan Africa, banks and other financial institutions are beginning to move the majority of their services to digital platforms. Learn how CYST used intuitive technologies such as conversational AI for localized automated customer interactions, sentiment analysis on customer feedback, and machine learning-based business intelligence for trend prediction.