22 min
Amal Rannen-Triki On IndabaX And Localised ML Initiatives iAfrikan BYTES
-
- Technology
In this episode of iAfrikan BYTES, we delve into the vibrant world of AI and machine learning in Africa with Amal Rannen-Triki, a seasoned researcher and advocate for ML communities across the continent. Amal begins by introducing us to IndabaX, a grassroots movement aiming to democratize AI education and foster local ML talent. She highlights the significance of these small, localized events happening in 47 African states, providing invaluable learning and networking opportunities for enthusiasts and professionals alike.
As a member of the Deep Learning Indaba steering committee, Amal shares insights into the challenges of organizing the Indaba, particularly navigating the uncertainties inherent in coordinating across diverse regions with varying infrastructural and logistical considerations.
Join us as we explore the journey of the Indaba and the remarkable efforts of individuals like Amal Rannen-Triki in shaping the future of AI and machine learning in Africa, one community at a time.
In this episode of iAfrikan BYTES, we delve into the vibrant world of AI and machine learning in Africa with Amal Rannen-Triki, a seasoned researcher and advocate for ML communities across the continent. Amal begins by introducing us to IndabaX, a grassroots movement aiming to democratize AI education and foster local ML talent. She highlights the significance of these small, localized events happening in 47 African states, providing invaluable learning and networking opportunities for enthusiasts and professionals alike.
As a member of the Deep Learning Indaba steering committee, Amal shares insights into the challenges of organizing the Indaba, particularly navigating the uncertainties inherent in coordinating across diverse regions with varying infrastructural and logistical considerations.
Join us as we explore the journey of the Indaba and the remarkable efforts of individuals like Amal Rannen-Triki in shaping the future of AI and machine learning in Africa, one community at a time.
22 min