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Data Science Nigeria Bags 2 Continental AI Awards In Kenya and Tunisia

Data & Financial Inclusion	831 VIEWS
Data & Financial Inclusion
831 VIEWS

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Monday, September 23, 2019 / 06:30AM / DSN / Header Image Credit: @DataScienceNIG

Data Science Nigeria as part of its efforts in developing research and deep learning in Africa and globally, bagged two (2) continental awards in Kenya and Tunisia respectively.

The Founder of the DSN Mr Bayo Adekanmbi in Kenya, received the Wangari Maathai 2019 Impact Award for training Nigerian data scientists and strengthening the African machine learning and Artificial Intelligence ecosystem more broadly.

At the first Deep Learning Indaba Continental event in Tunisia, DSN presented 5 posters and the 'NaLie' crowdsourced app emerged the second best at the event.

The NaLie crowdsourced app project aimed to address text-related financial fraud (one of the barriers to financial inclusion) using crowdsourcing.

The app uses crowdsourced fake bank alerts, fake job and promos etc .

With the 'NaLie" crowdsourced app DSN will be representing Africa at the World Artificial Intelligence Summit scheduled for Netherlands in October, fully sponsored by the Deep Learning Indaba.

Data Science Nigeria since inception in less than 3 years has developed itself to become a strategic capacity building intervention to raise 1 million AI talents in 10 years, and position Nigeria for transformational AI in research, Innovation and business/social use cases.

DSN has established its credentials as an emerging market best practice, through which hundreds of thousands have benefited from its multiple learning platforms(face to face, online and offline).

The DSN free ebook has seen over 500,000 downloads while our AI knowledge Box of over 10,000 AI videos is raising global standard in access to to AI Knowledge.

Speaking further on the awards the Founder of DSN Mr Bayo Adekanmbi said "We are proud of multiple PhD researchers and over 300 students who have secured job/internship placement through us.So proud of what we have achieved together in less than 3 years and I believe 1 million AI talents in 10 years is possible".