{"id":366,"date":"2019-06-18T16:29:18","date_gmt":"2019-06-18T15:29:18","guid":{"rendered":"http:\/\/localhost\/indaba\/?page_id=366"},"modified":"2026-04-05T17:09:05","modified_gmt":"2026-04-05T17:09:05","slug":"our-mission","status":"publish","type":"page","link":"https:\/\/deeplearningindaba.com\/about\/our-mission\/","title":{"rendered":"Our Mission"},"content":{"rendered":"\n
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About Us<\/h1>
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Who we are<\/h2>\n<\/div><\/div>

The Deep Learning Indaba is an organisation whose mission is to Strengthen Machine Learning and Artificial Intelligence in Africa. We work towards the goal of Africans being not only observers and receivers of the ongoing advances in AI, but active shapers and owners of these technological advances.<\/p>\n

An indaba<\/strong> is a Zulu word for a gathering or meeting. Such meetings are held throughout southern Africa, and serve several functions: to listen and share news of members of the community, to discuss common interests and issues facing the community, and to give advice and coach others. This is one of many words we have, including an imbizo (in Xhosa), an intlanganiso, and a lekgotla (in Sesotho). And by other words in other parts of the continent, such as a baraza (in Kiswahili) in Kenya and Tanzania, and padare (in Shona) in Zimbabwe. And of course this connects us to community gatherings that are similarly held by cultures throughout the world.<\/p>\n

This spirit of coming together, of sharing and learning is one of the core values of our organisation, and hence, the best choice of name for it.<\/p>\n

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Supporting Machine Learning and Artificial Intelligence in Africa<\/h1>\n<\/div><\/div>

Much of the wider discourse at present is permeated with conversations around the 4th industrial revolution, the need for policies and interventions around changes to jobs and workplaces, the impacts of increasing automation in societies, of high-levels of global investment in AI and machine learning, and visions of AI-first organisations. What underlies these conversation is the ongoing and rapid advances being made in artificial intelligence. It is essential for Africans to become not just observers of the ongoing advances in AI, but active shapers and owners of these technological advances. It is for this reason that the Indaba was conceived. And for this reason it plays a unique and important role within our continent.<\/p>\n

The Deep Learning Indaba aims to address two principal aims: African participation and contribution to the advances in artificial intelligence and machine learning, and diversity in these fields of science. The implications of these overarching goals is the spreading of technical knowledge at the state-of-the art in the field; the opportunities for new research connections to be made and and silos in the research community to be broken; the fostering of a better understanding of the variety of career paths in the field, especially those that are in abundance locally; and through new friendships, perspectives and backgrounds, taking the steps to realising a more representative, inclusive and multicultural machine learning community. For more detailed discussion check our impact reports from our annual DLI gatherings.<\/p>\n<\/div><\/div><\/div><\/div>

2017 Report<\/a><\/div><\/div>
2025 Report<\/a><\/div><\/div><\/div><\/div>

Our Programmes and Activities<\/h1>\n<\/div><\/div>

Year-Round Opportunities<\/h4>\n<\/div><\/div><\/div><\/div>

We execute our mission through three principal activities: the annual Deep Learning Indaba, the IndabaX, and year-round opportunities. These programmes aim to build a sustainable pan-African community of AI expertise, create local leadership in AI in every country across the continent, and recognise excellence in research and application of AI technologies, respectively.<\/p>\n<\/div><\/div><\/div><\/div>

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Mentorship Programme<\/h1><\/div><\/div><\/div>
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The Ideathon <\/h1><\/div><\/div><\/div>
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DLI Awards<\/h1><\/div><\/div><\/div>
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Publications<\/h1><\/div><\/div><\/div><\/div><\/div>
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Annual Indaba<\/h4>\n<\/div><\/div>

The Deep Learning Indaba 2026<\/h2>\n<\/div><\/div>

Indaba<\/strong> is a Zulu and Xhosa word referring to a gathering or conference to discuss important community matters. We are proud to announce that the next annual gathering of the Deep Learning Indaba community is coming to Nigeria<\/strong> in 2026!<\/p>\n

Stay tuned for more information!\u00a0<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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The IndabaX Programme<\/h4>\n<\/div><\/div>

The IndabaX is a way to experiment with the ways in which we can strengthen the Machine Learning community, and to allow more people to contribute to the conversation around AI across the continent. An IndabaX event is a locally-organised Indaba that helps spread knowledge and builds capacity in Machine Learning and Artificial Intelligence in individual countries across Africa.<\/p>\n<\/div><\/div>

See all events<\/a><\/div><\/div><\/div><\/div>

Indaba Leadership and Structure<\/h1>\n<\/div><\/div>

The Indaba is lead by a steering group, the\u00a0<\/span>Indaba Abantu<\/a>, that consists of Africans committed to our mission in countries across our continent and abroad. The Indaba is also supported by an Advisory Board, who are critical thinkers in machine learning, artificial intelligence and its impacts on the people and societies, and guide our thinking and planning.<\/p>\n

The Deep Learning Indaba Ltd is a non-profit company, formally registered as a Company Limited by Guarantee (without shares) with the Company\u2019s House in\u00a0 in England and Wales.\u00a0The formal and legal aspects of the Indaba\u2019s operations are overseen by a Board of Trustees.<\/span><\/p>\n

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Subject Areas and Activities<\/h1>\n

We advance study, research and deployment of knowledge in the subjects of machine learning and artificial intelligence. This therefore includes other subject areas that are the foundation of these fields, such as statistics, mathematics, probability and computer science. We also include related computational sciences, which are the applications of the field, including operations research, genomics, computational biology, econometrics, computational neuroscience, cognitive science and computational psychology, computational finance, statistical physics, information theory, and logic. Of importance are the fields that help assess and consider the impacts of advanced technologies and the subjects of ethics, and philosophy are also important to our work.\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>