Please join AI4D, Mozilla, and GIZ’s FAIR Forward initiative for a webinar with the Lacuna Fund Secretariat and partners introducing the Fund’s mission and the critical need for representative, accessible labeled data to drive more equitable machine learning.
The webinar will feature:
An introduction to Lacuna Fund.
A panel of data scientists working to make labeled data more available across the African continent in languages, agriculture, and health.
A presentation of the Fund’s first RFP on labeled data for agriculture in sub-Saharan Africa.
Time for questions both for panelists and on the content and format of the RFP.
If you are interested in applying for funding or want to learn more about why labeled data matters, please join us. See more details about the open RFP.
The Question and Answer period for the RFP on Labeled Datasets for Agriculture in Sub-Saharan Africa will close on July 27!
All questions related to the RFP should be submitted to firstname.lastname@example.org with “Agriculture RFP 2020 Question” in the subject line. Questions submitted by 27 July will be de-identified and answered publicly by 3 August on the Lacuna Fund website.
Thank you again for your partnership as we work to mobilize labeled datasets that address urgent problems.
My name is Olubayo Adekanmbi, I work for MTN Nigeria. I drive transformation, innovation and advanced analytics and also driving research and strategy partnership with academic institutions. On the other side I also drive data science Nigeria and AI ecosystems to build capacity, research, AI use cases and also drive for industry and academic partnership.
How do you perceive development and Artificial Intelligence?
Artificial Intelligence is a meaningful and symbolic combination of machine and man to solve local problems. In this regard, we look at a major market where there are a lot of infrastructural gaps.
AI has come as an enabler to provide a platform that does not exist and actually enable the continent to address a lot of infrastructural shortages. If we look at health for example, how long will it take us to train doctors that will treat Africans?
With AI, I can automate, systemize a process and raise more doctors faster. If we look at agriculture also where yield has been very low because at the level of science that is brought into the production processes is low.
So if I bring AI into it, of course, I’m going to increase agricultural yield, which is almost 50% of GDP in Africa and that has direct multiply effect on the overall development of the continent if AI is applied in driving yield knowing the right crops to plant, optimization of weather forecast to understand to plant.
Essentially there is a logical relationship in social development and application of AI to extend that it can provide a platform to leapfrog and address some of the shortages that we have seen over the years in the continent.
What would be your blue sky project in Africa?
For me the biggest it would be the aid of health where we can automate a lot of delivery system in the continent because today if you look at it we cannot raise sufficient doctors to address our problems. So how do we automate diagnosis, investigating process using AI, how will robots be more available to guide the process, especially when it has to do with life, where error cannot be allowed.
That is one of the reasons why I am excited about a forum like this where people can share best practices. Because, in Africa, if you want to go fast you go alone, but if you want to go far, you go together. So thanks to AI development for this session, because it allows us to share best practices and learning on how we can scale up and that is how we learn to drive to apply AI development.