The IndabaX is a scaled-down version of the Deep Learning Indaba, an annual gathering of the African machine learning community that was initiated in 2017 in South Africa. This locally-organized event aims to foster the advancement of knowledge and skills in machine learning and artificial intelligence within individual countries across Africa. The significance of the Indaba X conference has been widely acknowledged by Africans as a pivotal platform for discussions on deep learning, machine learning, and artificial intelligence in general, facilitating scientific and technological collaboration throughout the African continent.

IndabaX Nigeria serves as a representative body for all AI communities in Nigeria, primarily comprising members from micro AI communities such as Data Science Nigeria (DSN), AISaturdays (Lagos & Ibadan), AI School Porthacourt, and academia. The rationale behind this initiative is to establish IndabaX Nigeria as the central meeting point for all AI endeavors in Nigeria, while leveraging the established practices of the global Indaba. By doing so, it will provide a comprehensive platform for accessing global knowledge and aligning local efforts with the Pan African developmental agenda on a large scale.

Given Nigeria's increasing prominence as one of the fastest-growing technology communities in the world, it is crucial to establish an inclusive national platform that unifies the disparate AI efforts across the country. The integrated conclave of IndabaX Nigeria will serve as an umbrella organization with a broader Pan African impact, enabling the utilization of global best practices and knowledge to drive inclusive impact within our country. Consequently, IndabaX Nigeria will bring together academic institutions, industry practitioners, and the burgeoning developer community to form a robust tripartite workstream focusing on various AI use cases.

Moreover, the adoption of best practices, methodologies, and insights gleaned from the main Indaba event will expedite local practices, enhance adoption rates, and establish meaningful connections for research collaboration, sharing of best practices, and joint initiatives across the continent.