AI purpose in technology and everybody believes it’s a revolution. Many industries are missing out on the talent from African nations, because they don’t have access to quantity education.

Many people in Africa travel out of the continent in other to gain the I.T skill they need, and then return back to build new businesses. We are in a period of time where it is accelerating so fast and transforming so many industries.  

The one solution to this problem is for the government to see Ai as the key and priority and function in other to use artificial intelligence for the good of humanity.


Enhancing Ai in Africa:

In April, Google opened its first Africa Ai research centre in Ghana, the Ai laboratory based in Accra, will be used to develop solutions to help improve healthcare agriculture and education.

Google’s head of Ai moustaph cisse who completed an undergraduate degree in maths and physics in Senegal, he taught himself Ai and then went study in Paris.

Educational sector

The main challenge that is affecting the educational sector is developing a comprehensive view of public policy on Ai for sustainable development. Wayua’s lab hires high performing undergraduates to work alongside full time staff and pays for them to take the online masters program in computer science offered by Georgia tech university.

 And this two people share similar career trajectories. Each left Africa for higher education before coming back, hoping to apply their impact. A program that operates leaning programs around the region and also brings in some of the Ai researchers around the world. Currently most of the Ai development come from the private sector. Most governments are struggling to manage in private sector engagement with Ai education.

The African masters in machine intelligence, a one year intensive program was founded and directed by cisse. cisse was working at the right opportunity to return. “The main resource of doing research is talented people, and you will find more talented people here in Africa than anywhere else ” says cisse.

The question is how do you equip those talented people with skills so that they own the transformation of the continent and build their own future?

The number that have developed a national Ai strategy is increasing. France in Europe ,China in Asia and lately the United States in North America are examples of the kind of comprehensive strategies that ,despite the massive focus on R&D,assign a major role to the development of an Ai capable work force . In all this three cases, most attention is given to higher education, because of its obvious links with R&D, but also to technical and vocational education.

The development of public policies regarding Ai in education is still in its infancy, but it is a field that will most likely grow exponentially in the next ten years .it is difficult to find some common components at such an early stage, but some issues are starting to emerge as key factors and public policies will not be able to crop with the speed of innovation in the field of Ai with its traditional institutions. New agencies and institutions within the public sectors are key to creating the Ai intellectual and material context of sustainable development.

Health care / diagnosing of disease

Healthcare investment in Africa is currently limited, the comprehension of Ai in healthcare Africa is slow because of strategic and technical challenges. For Africa specifically, we are experiencing a massive loss of healthcare professionals to Western Europe and North America. Irrespective of the government action to stop this migration because doctors and other health professionals are earning more outside Africa.

This is where technology offers promise, make the work not hard for the doctors. if artificial intelligence could handle the minor healthcare issues, the professionals could focus more on the most difficult issue, technology could bring equality removing the need of many healthcare professionals and establish functioning service equilibrium in the healthcare sector in Africa.

Data will be needed for advancement. Besides diagnosing a villager with a minor issue like malaria, it is also important to detect the medical history of the person ,

If the person is on any medical condition and other factors needed before treatment can commence. Feeding that data to Ai systems could make it possible for the Ai to confidently prescribe medication, with the ability to connect the patient to the right pharmacy, with the process handled digitally.

But the cost of the service must be affordable. This possibility is not realizable in most Africa countries today because of lack of data, a problem which is not just peculiar to the health sector in the continent.

Furthermore, artificial intelligence could unlock new openings in Africa healthcare sector , but investing in other aspects of functioning healthcare sector. Medical schools should train more people. Healthcare professionals remain at the heart of any good healthcare system.


Africa’s full agricultural potential remains untapped lack of information remains the number one problem facing most of the small scale farmers in Africa today.

 More than 60% of the population of sub-Sahara Africa is a small holder’s farmers, and about 23% sub-Sahara Africa’s GDP comes from agriculture. Africa has a massive social and economic footprint.

Ai along with machine learning, satellite imagery, and advanced analytics had the potential to improve productivity and efficiency at all of the stage of the agricultural value chain.

These technologies can empower smallholder farmers to increase their income through high crop yields and greater price control.

For example, drone technology can be used to plant and fertilise seeds more than human ability. Ai powered analytics of crops data can help identify the disease and enable soil health.

 The world bank estimates that Africa food markets will be worth USD 1trillion by 2030 up from the current USD 300billion. Demand for food is projected to at least double by 2050, driven by intra-regional trade opportunities for Africa’s farmers it is estimated that a 1 percent increase in crop productivity reduces the number of poor people by 0.72 percent in Africa.

The Kenyan data analysis start-up is an alternative credit scoring platform for small holder’s farmers. It uses mobile phones, alternative data gap that prevents the financial institution from lending to creditworthy smallholder farmers.

In addition, Ai smart machine can also be used to manage crop at a plaint level. This machine empowers growers to make every individual plant count at scale.

Blue River Technology has built a”smart farm” machine to manage crops at a plant level. today, the best practice is to treat all plants as if they have the same need.


Africa’s development, including agriculture, education, and health it has the ability to lift productivity growth by expanding opportunities in key sectors By empowering them with access to high quality digital tools, AI will equip workers, entrepreneurs, and businesses compete at a global level and are at the forefront of economic transformation.

Artificial intelligence is a great opportunity for the Africa continent.

 If only the governments can successfully control the challenges, artificial intelligence can be good growth, development.

 AI will mean substantial adjustments for workers and business and opens new ethical questions that require thoughtful responses.

 Africa needs to take decisive steps to overcome its unique challenges, but if it can, it has the opportunity to catch up to those countries that have already taken steps to advance AI.

These efforts will not be easy, but the path forward is clear. Success will depend on the ability of governments to improve academia, industry, and national and international problems. If these decisions are gently taken to tackle the challenges and opportunities of AI, Africa will reap the benefits of a vibrant AI ecosystem.

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