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Writer and Filmmaker @ Middle Girl Productions
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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
Human Rights & Humanitarian Lawyer @ Avocats Sans Frontieres Humanitaires du Cameroun
Educator @ Covenant University
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.
Hello Mercy, Yes, there are tools that give you a good insight into the best posting times on social. You can look at Hootsuite and Sprout. Those are two I have used personally, but I'm sure there are a lot more you can find and try out.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
Hello Pemi, Video is the present and future of content marketing, and people generally gravitate towards video, so it is a really effective way to reach your audience, but you mustn't ignore other content formats that may be more useful in getting a particular message across. Yes, email is still very efficient and has a very high Return On Investment (ROI). Some of the most common mistakes are not understanding your audience, not giving your strategies/plans enough time to give the desired results, not evolving and being so afraid of failing you take no chances.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
Drink a lot of water
Eat a lot of fruits
wash your face at least twice a day
Moisturize after each bath
Use warm water
Use allergen-free moisturizing soap
Use a humidifier
Avoid bleaching creams / creams with harsh chemicals
Priscilla Ofosu Mensah
Bridal Makeup Artist, Makeup Educator, Makeup Special Effects (Sfx) @ Vogue by Prylla
Hello Toluwanimi. I completely agree with you. ADHD is underdiagnosed in Nigeria. The diagnosis has very specific criteria which include hyperactivity, inattention and impulsivity of a certain duration. A lot of healthcare workers are unaware of the criteria. Parents may also seek help late or not at all. When the diagnosis is made, there is little consensus on what management methods work best. This lack ofuniformity of therapy makes management challenging. Coping for families involves support groups, a Multispecialist approach to care including the paediatrician , paediatric nurse, paediatric psychologist, child psychiatrist and the occupational therapist. Children with ADHD may have other issues like oppositional behavior which need to be addressed. Building capacity to diagnose and treat ADHD as well as creating public awareness will go a long way to help children with this condition
Ayodele Renner
Consultant Paediatrician @ Lagos
Hello Sarah, I'm glad you found it useful. I just wish I had more experience working with a lot of other brands and also other experts. As you can imagine, our comms team in Oando will not have as many experts in the digital space as an agency that focuses on just digital. In my role, I have been able to work with agencies though so I have picked up a lot from them. I have also just made sure to upskill myself constantly and also worked for other brands in my spare time.
Toyin Jolapamo
Senior Digital Communications Analyst @ Oando Plc
Excellent question John. In project management, there is something called management reserves, this is used to handle unknown risks. Management principles will always imbibe management reserves in solving unknown risk.The use of analogous estimating, which is historical knowledge is also another way of solving unknown problems.
Adebayo Ajayi
Project Deployment Manager, West and Central Africa Area @ British American Tobacco
I think the first question should be: does this problem actually need ML?
Chinasa T. Okolo
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
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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