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Belinda Chiazor
Writer and Filmmaker @ Middle Girl Productions
TwoCents is a fantastic platform for writers to authentically express diverse opinions without rigid rules or deadlines.
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Freelance writer, audio producer, 3D modeler/animator
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Kate Mwambo
COO @ Enchird Technologies Sarl.
TwoCents sparked my passion for writing and introduced me to lifelong connections.
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Design Associate @ Hera Marketing
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TenQuestions
Q&A Sessions with bright African minds across the globe.
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Post what you're learning or an idea that you're forming and spark informed conversations with colleagues from across the continent.Recent Sessions with some of Africa's brightest minds.
Doctoral Student @ MIT
HR Manager @ Pernod Ricard Western Africa
Senior Digital Communications Analyst @ Oando Plc
Creative Director @ Thalia Bespoke Nigeria
Senior Writer @ TechCabal
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
Educator @ Covenant University
International Criminal and Human Rights Lawyer
Senior Lecturer @ The Technical University of Kenya
Personal Brand Therapist | Bus Consultant | Relationship Counsellor | Content Creator @ NEST Consolidated
Top answers from some of our sessions.
Off shore wind energy in your context should refer to the use of winds blown from the land towards the water bodies. It is important to evaluate the amount of offshore wind energy we have available.
Every project is feasible depending on the necessity, emergency and cost of the projects. Offshore winds utilisation is not a profitable one for Africa.
Of course, offshore wind energy is set to grow. At the moment only about 1.7 Tera Watts are mobilised on an average using windmills. Wherever need be, the resources could be better utilized. It is not Africa's priority and shouldn't be.
What Africans could do is research and optimistic analysis of such a project, bringing it to lower scales could be better. For example, having a team of mechanical and electrical engineering students designing local windmills in localities to assist with increasing access to electricity (this is the end of point of wind energy utilisation).
Loic Bethel Dje
Youth and Apex Performance Mentor | Initiator @ PureBreedSbe
I've known I wanted to go to Stanford since I was 11 years old when I read a book that said something like "having a degree from Stanford University is a big deal." From then on I had an almost problematic obsession with doing well in everything so that I would be admitted.Because I knew I wanted to go there, I worked really hard in high school to stand out from my classmates.
I went to a moderately wealthy high school, and competing academically and socially with people that have access to generational wealth takes strategy. I chose to take on 2-3 extracurriculars each year. Freshman year I was the president of the freshman class and captain of the freshman basketball team and played volleyball, Sophomore year I was a chair in the same student government, on varsity basketball and JV volleyball, and participated in the competitive mathematics club. Junior year I cranked up the AP courses, taking essentially everything AP, still playing on Varsity Basketball and Volleyball. Senior year I was captain of the Basketball team along with my other extracurriculars and APs.
There probably were other things, as this was over a decade ago. In terms of academic performance, I was ranked #8 in my class upon graduation with above a 4.8 GPA.Even though I had a strong record, I was still nervous to apply, and so I decided to apply to the Restrictive Early Action round, which means you cannot apply early to any other school, although you are not forced to attend upon acceptance. Luckily I was accepted, and decided to not apply to any other school
While I put myself in a good position to be accepted, nobody else at my school was, including those that had better academic records than me. This could be because of my application essay, in which I told the story of why I have 9 siblings in my family and how that has helped me grow as a person. I think the academic performance and the uniqueness of my story were helpful in standing out from the crowd of perfect transcripts.
Ifueko Igbinedion
Doctoral Student @ MIT
To your first question, I believe they somewhat already have. If you look purely at the numbers, I believe they already lead the world in newly published AI research or are quite close to that. In my opinion, its because the K-12 education system is much more tech focused there, and until the US competes at that level of education as well (which seems somewhat unlikely, considering the state of public education in the US government), we will surely be not just outpaced, but completely dominated in the next few decades. Also at the doctoral level at many Ivy+ schools, almost half of PhDs in tech come from international students, so you can draw whatever conclusions you'd like from that.To your second question, none of them. They will likely purchase another company doing such h things. One thing that we have to realize is that cutting-edge B2C AI generally doesn't usually make money in short term timelines. Companies that do often end up being unicorns or acquired by one. If you were to take a look at how FAANG companies make the majority of their money, I would bet a lot of money that its not the jaw dropping consumer AI systems. From the B2B sense, however, probably Amazon, as they dominate the B2B computing market already.The third question: hard work rarely yields personal financial success. This may be a jaded opinion, but the majority of wealth made in the US isn't made by the hard work of the person who benefits. The most profound book that I've read in the past year is a book of poetry, called the sun and her flowers, by Rupi Kaur. For me, poetry helps me find solace and meaning, and speaks when I cannot come up with words myself. Lastly, the startup that excites me the most is the one I'm working on in secret.
Ifueko Igbinedion
Doctoral Student @ MIT
Yes, this is a image recognition process that has been done in multiple ways before. I would suggest looking up relevant literature for inspiration and browsing around competition sites like Kaggle or Zindi to get access to datasets!The coolest project I have worked on probably was something I did with a startup to recognize different hairtypes and hairstyles!
Chinasa T. Okolo
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
The preamble of the African Charter enumerates a list of basic Human Rights norms that must be applied by every state party.
In a bid to bridge the gap between human and People's right and the protection/preservation of different cultural values in Africa , the Charter ensured the creation of the African Commission on Human and People's Rights from its Article 30 et seq.
Article 62 of the charter compels each member state to submit every 2 years a report on the legislative or other measures taken to ensure rights and freedoms recognised and guaranteed by the charter.
Hence in cases of those African countries that still maintain a strong attachment to long standing cultural practices that violate human rights, article le 61 of the charter stipulates that; once such cases are brought before the commission, considerations as subsidiary measures will be made to determine the principles of law , other general or special international conventions, laying down rules expressly recognised by member states of the Organisation of the African Unity, African practices consistent with international norms on human and People's Rights, customs generally accepted by law, general principles of law recognised by African states as well as legal precedents and doctrine .
Arrey Ojong Collins
International Criminal and Human Rights Lawyer
Thankfully, I never just dive into spending large sums of Naira, because of the space I work in, I am always able to see what's performing well and change gears very quickly. This is not to say that I have not had some campaigns perform poorly. In fact there was a particular campaign we launched in 2019, it did so well, and we tried it again in 2020 thinking because there are more people online, the campaign will perform better, but it didn't. In this situation, I simply laid out some of the assumptions we made that were wrong, some of the learnings, and how we intended to pick up the slack, because it was a campaign that contributed to our overall goal, so when we realised that we had fallen short, we needed to be creative about how we could get the same traction on other campaigns.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
I'm not sure I entirely understand your question, but I think you're asking if there are some apps that you should not use in marketing. I think snapchat is a very useful tool, especially when you are trying to reach the younger demographic, understanding that the app is made for you to share short, memorable and effective messaging that people can get in the first few seconds. If Snapchat didn't have an effective model, then the likes of Facebook, Instagram and LinkedIn would not have incorporated stories. However, because there is such a huge crossover in terms of people using multiple platforms now, it's probably best to focus on the ones that will yield you the best results depending on what your objectives are.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
Hi Opeyemi, I'd recommend Wild Fusions; I think they are the best digital agency in Nigeria and have a good balance of expertise and creativity. Anakle is a close second, definitely with a more creative and daring element, but both great places to gain experience and work with some really bright minds. Sure thing! I'm @ToyinJolapamo on Twitter and Instagram. LinkedIn is my name.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
Fortunately, some large tech companies have begun to democratize access to compute and offer free cloud services. I would check out Google Colaboratory that offers free GPU/TPU access to train models.There's no specific rule for determining what real-life problems can be solved with AI, if you have sufficient data and a solid understanding of what models can be used to solve the problem, then you can test it out!
Chinasa T. Okolo
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
I think this is a bit dangerous. Attempting to ascertain sentimental correlations and apply them to huge financial decisions may work in certain contexts and you could definitely train a model with 99% training accuracy on this task, but future situations that are dependent on complex human action can never be adequately represented by a numerical parameterization and a finite state machine. If the model is not large enough, we will not learn all the possible combinations of interactions. If it is too large, then we only learn the context of our training dataset. That being said, you could do both and get good results during training. Personally, I do not have extensive NLP experience or Bayesian experience in production, but their fundamentals suggest that they would learn this type of model well independently or in conjunction. Naïve Bayes is good for state estimation-based decision making, and NLP can be used to model language and extract sentiment. However, these models depend completely on the input dataset that one utilizes, and the chosen labels (if using a supervised method) that are often subjective. Using data from the internet is also dangerous because it is next to impossible to have humans annotate every piece of training data without spending a large amount of money, and learning from problematic input data can lead to problematic situations.To make this less vague, take the 2016 example where Tay, a chatbot made by Microsoft and trained on Twitter data, became extremely racist in less than a day of online training (https://twitter.com/geraldmellor/status/712880710328139776). Attempting to determine causation in a data driven sense is a slippery slope, and until AI solves the data-driven generalization problem (which I believe may be never) I wouldn't build a system like this in production until I could guarantee significant human supervision and have looked at the ethical implications on those who do not financially benefit from the proposed system.
Ifueko Igbinedion
Doctoral Student @ MIT
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