Feature/OPED
The Promising Potential of Artificial Intelligence
By Timi Olubiyi, PhD
2024 is here, and I pray it will be a better and more prosperous year for us all. Artificial Intelligence (AI) projects and adoptions are sweeping the world like wildfire and are one of the most disruptive technologies to watch out for in 2024 and beyond.
This technology, known as AI, usually empowers machines to demonstrate cognitive abilities similar to that of humans, including problem-solving, reasoning, predictions and learning.
Simply put, AI is the imitation of human acumen in machines. This technology is gaining more prominence in many parts of the world and will intensify more in 2024.
In my view, and considering the impact AI has had on living and livelihoods, it is believed that AI has enormous potential to transform various sectors in Africa, be it in business, consumer experience, education, agriculture, health, governance, or finance. It has the potential to change the way companies operate fundamentally, it will continue to drive innovation, and if applied reasonably, it has the potential to improve the lives of millions across Africa.
Yet, the implementation of AI in Africa is still in its infant phase, as most of its applications are pilot or experimental. Even though in Africa, financial services, agriculture, and healthcare are all sectors that could utilize AI.
AI is currently being implemented sparingly for instance in the financial services sector to facilitate financial inclusion and customer service improvements. One tendency that AI possesses is the ability to increase unemployment due to its adoption in routine and predictable daily operations.
But the potential of AI in Africa, particularly in solving social and environmental problems such as poverty, hunger, healthcare, education, language technologies, water supply, clean energy forecasting, climate change predictions, and security is unlimited.
In fact, Africa could be transformed with the power of AI applications to change how businesses operate, facilitate more innovation, and improve the lives of millions across the continent. This could lead to improved well-being, quality of life, and business resilience, which could be addressed by some AI business solutions. But the big question is, are Africans and African leaders ready?
With artificial intelligence, small businesses can help foster innovation and social entrepreneurship that could help curb some of the agelong challenges in Africa and improve job creation in another realm. With a growing population of over 1.4 billion people and with 70% under the age of 30, the continent is ripe for these AI investments.
According to records, the African population is expected to grow by 1.76% by 2050, reaching approximately 2.5 billion from 1.36 billion in 2020. This means that adequate attention must be given to the young and growing population because the young folk on the continent are a crucial resource that presents opportunities for economic growth and competitive, but innovative ideas.
The young people should be the workforce ready to take on the technological revolution and drive AI progress in Africa. Still, they need to be incentivized and prepared for a forefront role in the technological revolution if Africa is proactive. But the current bane to this is the insufficient investment in research and development, the general lack of institutional capacity and huge skill gaps amongst these youths.
So, African leaders must show unwavering commitment to the AI agenda by focusing on research, funding, building capacity and skills, and engaging in long-term partnerships worldwide.
AI has the potential to impact almost every industry on the continent, and for example, with agriculture and production, AI models could be used to optimize yields and production value chains.
In the area of food insecurity, the use of AI applications can help identify or predict crop and animal diseases and forestall disasters. Therefore, agriculture is a strategic sector that needs improvement across Africa, and AI should be a critical part of the solution to achieve sustainability. In the banking and financial sectors, AI could help automate and predict more customer transactions in the commercial banking and capital market space and so on.
Though records show that Africa missed the first, second and third industrial revolutions’ significant participation, the continent should be determined not to miss the fourth and fifth.
So, Africa cannot sit back and wait. The time to be proactive is now. Because the adoption of AI and associated technologies in Africa may have the capacity to influence the attainment of the United Nations Sustainable Development Goals (SDGs) significantly, AI can have a vital impact on tackling Africa’s most urgent issues.
From Kenya to Nigeria, Ghana, Ethiopia, and South Africa, the governments and business leaders need to set up think tank teams to provide actionable recommendations, evidence-based insights on AI education, collaborations, and practical solutions for robust AI development in Africa including high -quality data availability which is key for the successful AI adoption. Improving the innovation ecosystems, and setting up policy frameworks that can enable AI development adoption and quick implementation in many sectors are some of the deliverables of the think tank team.
In conclusion, due to the paucity of comprehensive AI regulations and policies across Africa, cyber security challenges are central concerns. Therefore, since the existing laws and legislations cannot regulate AI operations adequately, and the regulatory framework to set the rules of engagement is still limited then to protect the social fabric, norms and safety of people and avoid unintended consequences, African governments should think ahead and formulate regulations and legal frameworks to guide the usage of AI.
The role of governments in nurturing a conducive environment for AI technological adoption is key and non-governmental organizations with other stakeholders need to assist as well by considering investments in AI infrastructure. Good luck!
Dr Timi Olubiyi is an entrepreneurship and business management expert with a PhD in Business Administration from Babcock University Nigeria. He is a prolific investment coach, author, seasoned scholar, Chartered Member of the Chartered Institute for Securities & Investment (CISI), and Securities & Exchange Commission (SEC) registered capital market operator. He can be reached on the Twitter handle @drtimiolubiyi and via email at dr***********@***il.com, for any questions, reactions, and comments. The opinions expressed in this article are those of the author- Dr Timi Olubiyi and do not necessarily reflect the opinions of others.
Feature/OPED
How Data Deconstructs the Myth of the ‘High-Risk’ Nigerian Borrower
By Winston Osuchukwu
The average Nigerian borrower is widely considered high-risk – a claim repeated in credit committees, priced into retail loans, and largely treated as settled fact. Every credit market accepts that an individual loan may not be repaid; this is ordinary, priced risk. The high-risk claim, however, is applied to whole segments – the informal trader, the gig economy earner whose income is steady but split across several accounts, the remote worker paid by an overseas client into a fintech FX wallet. What the assessment establishes is not whether they are likely to repay, but how they fit into an arbitrary segment. Having spent years building decisioning systems for this market, my thesis is a specific one: “high-risk” does not mean “no credit” – it simply requires that the lender embrace alternative datasets to price the risk appropriately.
This is not a criticism of the institutions that built their frameworks around collateral and documentation; those were rational responses to the tools available at the time. When data is scarce, prudence means defaulting to the status quo. The limitation is not that this approach is wrong, but that it leaves a blind spot – excluding fundamentally sound borrowers whose economic lives simply are not captured on the bank’s ledger. A market trader who has moved consistent, growing volumes of cash through mobile money for three years is not, in any meaningful sense, unknowable. Their financial behaviour is observable and patterned; it simply occurs outside the traditional banking system, rendering it invisible to conventional underwriting.
This is the gap technology is now positioned to close – not by replacing institutional judgment, but by augmenting it. When AI-driven analysis is applied rigorously to the financial behaviour these borrowers generate, a far more complete picture of their repayment ability emerges – and a meaningful share presents a risk profile that compares favourably with segments the traditional system has long considered safe. The “high-risk” label, applied broadly to an entire category of borrower, was never a risk pricing tool so much as the limit of what the available tools could see.
For banks, this is the opportunity to extend capital with confidence beyond the borrowers who fit their stringent criteria. Nigerian banks are highly liquid; the constraint on credit growth has rarely been capital, but the ability to assess and price the borrowers who sit outside the traditional file. Close that gap, and the whole ecosystem strengthens: banks grow their loan books into segments they have long wanted to serve, and the real economy gets the capital it needs to expand.
This is precisely what we focus on at Mathesis Analytics: building AI-powered credit decisioning that gives lenders a fuller, more defensible picture of the individuals long excluded as high-risk when they were simply misjudged. The Nigerian credit gap has never been a non-lendable population problem, but one of incomplete visibility. By unifying varied data sources and partnering with the institutions that hold the capital and scale to move the market, we translate out-of-ecosystem behaviour into reliable, bank-grade risk scores. Closing this gap is one of the clearest, highest-leverage opportunities in Nigerian financial services today.
Winston Osuchukwu is the founder & CEO of Mathesis Analytics
Feature/OPED
Second Home, Second Mother: Life Inside an Early Years Classroom
By Ohore Emmanuel Ufuoma
The Early Years classrooms have effectively become surrogate homes where educators now tie shoelaces, calm separation anxiety, supervise naps, enforce discipline, and provide comfort after minor injuries, which ought to be duties that should be performed by parents.
The extended work hours from 8 a.m. to 6 p.m. for six days a week, economic realities, and the proliferation of all-day, weekend-inclusive early learning programs have repositioned schools as the primary environment for early childhood development.
For a typical four-year-old, 9.5 hours in school account for about 75% of waking weekday time. With Saturday sessions added, the home is reduced to a space for meals, sleep, and brief routines.
The mandate of Early Years teachers has expanded far beyond academics. Current practice requires them to handle physical care, emotional regulation, and behavioural guidance concurrently.
Daily responsibilities include toileting assistance, feeding, conflict mediation, fatigue monitoring, and maintaining individual routines for 15–20 pupils.
The parent-child dynamic shifts when parents deliberately delegate care of the child, and even punishment, to educators. While parents set apart evenings and weekends for practical tasks, like food, homework, and bathing.
Psychologists term it “contact without connection.” Although parents are physically present, time is divided and focused on tasks.
Children are more obedient and organised in class than they are at home, according to teachers. Parents describe the contrary. The pattern shows an expected result: the parent becomes the outlet for exhaustion, while the educator becomes the authority figure.
The labour market triggered the transfer of responsibilities between parents and educators.
Dual-income households are now the norm in major cities, and flexible work remains limited outside tech and finance.
Child caregiver costs compound the issue. Full-time caregiver care often costs almost half of a salary. Parents opt for schools with extended hours in order to kill two birds with one stone.
For educational centres, extended-day programs create parent-like responsibilities, and staffing, training, and compensation should reflect that. In leading centres, professional development in attachment theory and stress management is becoming standard.
For parents, the emphasis should be on quality rather than quantity.
Policymakers are beginning to prioritise employment rules that permit parental presence during early childhood and accessible, flexible daycare. Strong early attachment is associated with higher scholastic success and fewer behavioural problems in later life.
The Early Years teacher and the parents have not replaced each other. Both parties are only responding to a system that demands more hours in the workplace with fewer hours at home.
There has been a paradigm shift in the upbringing of children. The teachers now perform functions once meant for the family unit.
Intentional parenting inside the small windows has been left in the hands of caregivers.
Instead of the classroom remaining a place of learning, it has become the only home children know.
Ohore Emmanuel Ufuoma is an MBA student at Tokat Gaziosmanpaşa University, Turkey
Feature/OPED
Preparing Bank Security Operations for Scale, Change, and Long-Term Resilience
By Quintin Roberts
When banks and financial institutions upgrade their physical security systems, they are making decisions that will affect operations for years. Branch formats are changing, cyber risks are increasing, and security teams are being asked to support more sites, more data, and more business functions. The challenge is keeping pace with change in a way that holds up over time.
A modern physical security strategy needs to go beyond protection. It needs to give teams a clearer view across branches, support consistent governance, and provide the flexibility to adapt as technology and operational needs change. The following considerations focus on foundational choices that help banks build security operations that are resilient and can grow with the business.
Choose open architecture to preserve long-term flexibility
Banks and financial institutions often manage a mix of legacy systems, newer technologies, and location-specific requirements. A proprietary system can limit scalability, options for devices, and which systems can connect across the organisation. Over time, this can increase costs and make it harder to modernise without replacing infrastructure that still has value.
Open architecture gives decision-makers more choice and preserves flexibility. It allows financial institutions to select the cameras, access control devices, sensors, analytics, and other technologies that best fit each location and adapt them as their needs change.
This allows teams to modernise in phases. For example, an institution may standardise video management across many sites while keeping existing cameras in place, then replace hardware over time.
Decide how to deploy your security system
Some banks want to keep core systems on-premises at major sites. Others prefer cloud-managed services for smaller branches, remote locations, or new sites that need faster deployment and less local infrastructure. Many need a mix of both. Deployment flexibility gives them the freedom to choose where systems run, how data is stored, and how services are managed.
This is especially important for institutions with different regulatory requirements, bandwidth limitations, and internal IT policies. A flexible deployment model helps banks modernise at their own pace while maintaining control over performance, cybersecurity, compliance, and cost.
Unify operations to improve visibility across branches
Managing video surveillance, access control, intrusion, and other systems separately slows down response time and makes investigations harder. Operators may need to sign into different applications, search through data in different ways, and manually piece together what happened. Across hundreds of branches, these inefficiencies can add up quickly.
A unified security platform gives teams one operating picture across systems and sites. A local team can respond faster to an incident at a single location, while a central security operations centre can monitor trends, support remote sites, and apply consistent procedures across the network.
A unified system that creates a shared context makes incorporating analytics or AI-driven capabilities more effective, further accelerating searches, identifying patterns, and reducing overall investigation time.
Put cybersecurity and governance at the forefront
Physical security systems are connected to the broader IT environment. Devices all need to be managed as part of the bank’s cyber risk profile. If systems are outdated or inconsistently configured across branches, they can create unnecessary exposure and make long-term management harder. When cybersecurity and governance are a foundational part of the system, encryption, authentication, user permissions, system updates, audit trails, retention policies, and privacy controls are applied consistently across locations.
A centralised approach makes this consistency sustainable. It provides accountability for banks, helping teams keep track of who accessed which systems, who changed permissions, how long video is retained, and how evidence is shared. This is important for meeting regulatory expectations and adapting security operations over time. Further, consistent policies make organisational risk management more effective by standardising how risk is handled across the organisation, adding to future resilience.
Automate workflows for better risk mitigation and investigations
Investigations often involve information from several systems and locations. A suspicious ATM transaction may need to be matched with video, or an access event may need to be reviewed alongside intrusion activity. If that information sits in separate systems, investigations take longer and are harder to document.
Unified systems connect the relevant context across video, access control, license plate recognition, and other systems. This supports faster investigations and helps teams share evidence internally or with law enforcement while maintaining the chain of custody.
Improve business operations using physical security data
Physical security systems collect valuable operational data every day, from occupancy levels to device health. A unified platform can turn this data into useful insights, helping security teams identify recurring issues and improve resource planning. Other departments can use the same information to improve customer experience, branch operations, and facility management.
For example, occupancy and queue data help banks understand when branches are busiest. Device health monitoring enables teams to identify maintenance needs before systems fail. And with centralised reporting, leadership can see patterns across the full branch network rather than relying on isolated site-level reports.
Making the right choices for the long term
As banks modernise their physical security infrastructure, long-term resilience will depend on foundational choices. Strategies based on open architecture, deployment flexibility, unification, cybersecurity, governance, and data all help financial institutions build systems that can adapt well into the future.
Quintin Roberts is the Regional Sales Manager for Genetec Africa
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