Technology
Google Experts Answer Your Top Most Searched Questions on AI
New search trends released by Google show that search interest in AI has reached an all-time high in Nigeria. The trends show that people have searched for AI more than ever in 2023 so far, with interest rising 310% since last year, and by 1,660% in the last five years.
Google’s research also revealed the top trending questions being asked about AI across Nigeria. Here, Google West Africa Director, Olumide Balogun, answers some of the most frequently asked questions.
- What is Artificial Intelligence and how does it work?
AI is a type of technology that can learn from its environment, experiences and people and that can understand patterns and make projections better than any previous technology before it.
AI models are trained and created by human engineers, who input data into the AI system to train it. For example, in 2012, we showed an AI model thousands of videos of cats on YouTube so that it could learn to recognize a cat. Now, with advancements in technology, we could give an AI model hundreds of books on animals to read – and, using those, it would be able to describe a cat to us on its own despite having never been shown one.
Once AI systems are trained, they’re tested to see if they work well. You can do this by asking the AI model to describe or recognise a cat, for example, or even to generate a picture of one for you. Training AI models can take a long time – but once they work, they can be deployed into production so that you can use them at home.
- When did AI start?
AI can be traced back to the early 1950s, when Alan Turing – a British mathematician – published a paper on Computing Machinery and Intelligence. That kick-started the principles behind AI – but the first time anyone used the term was likely in 1956 when John McCarthy hosted a conference at Dartmouth College called the Dartmouth Summer Research Project in Artificial Intelligence.
So AI is not new – in fact, AI research has been accelerating since the 1990s. Google itself became an AI-first company back in 2015. But the pace of AI development is accelerating – with more households able to access generative AI tools like text-to-image generators or chatbots – which has made AI a household phrase for maybe the first time ever.
- Where is AI used?
AI has always been integral to many daily tools, from Google Translate to antilock braking in cars. Its transformative power, however, is being harnessed more profoundly now. In the heart of this evolution is the Google AI Centre in Accra, laser-focused on Africa’s unique challenges and aspirations. While innovations like Google DeepMind’s AlphaFold impact global biotech, in Africa, we’re taking strides that resonate with local needs. We’re collaborating to map remote buildings for better planning, using AI to predict challenges like locust outbreaks and enhancing maternal health via AI-powered ultrasound.
AI’s potential in sustainability is vast. In Africa, it’s about thriving industries that respect our rich biodiversity. While the global health community benefits from protein sequence mapping, for Africa, it’s a hope against diseases like malaria.
- What can AI do and how can I use it?
Think of AI as a tool that’s really good at understanding patterns and making projections – better than any computer has been before – and that’s been taught to learn from its environment, experiences and people. When you put that ability to good use, you can use AI to do all sorts of amazing things, like helping doctors to screen for and identify cancer, predicting and monitoring natural disasters, or helping businesses to identify and reduce their carbon emissions.
You’re probably using AI all the time already without realising it. But you can now also use AI to help boost your productivity with experimental language tools like Bard, to translate even more languages on Google Translate, or to find the most fuel-efficient route on Google Maps.
- Is AI dangerous?
AI is like any other technology in that it can be used for good or bad, depending on the user. On the one hand, it has incredible potential to be used in ways that are beneficial for society – whether it’s protecting people from spam and fraud, translating hundreds more languages, or forecasting floods up to seven days in advance. But it can also be used to amplify current societal issues – like misinformation and discrimination.
It’s really important that we get these tools right, working together to ensure we’re creating and using them responsibly. That means governments are introducing regulations to help us seize the benefits of AI while mitigating the risks, as well as companies developing shared sets of standards and principles. At Google, we’re also led by our own AI Principles – which you can read online – to make sure we’re developing AI that is beneficial for society.
- Will AI take my job?
As technology has developed, so too has the job market. At the beginning of the last century, people mostly worked in agriculture. Now we have hedge fund managers, cabin crews aboard widely accessible commercial flights – and, as recently as 1995, web designers. So we’ve had these questions for a long time, and, as a society, we’ve navigated them well.
That’s not to underestimate the potential of AI – which is essentially the ‘third wave’ of digital technology after the internet and mobile phones. It will be brilliant for people’s productivity and for economic opportunity – but it will also cause some levels of disruption. We’ll see a whole set of jobs that can grow – but the most profound change will be how many of our jobs will be assisted by technology. AI will become a partner to many of us, helping us not just to make the repetitive tasks of our work more efficient but also sparking creativity and enabling us to spend more time on the bits of our jobs that we love and that challenge us. We’re already working with people to help them learn how AI can help them. Our Grow with Google programs have trained 7 million people and helped to close the digital skills gap in Africa. Governments, NGOs, and the private sector can work together to bring similar schemes about – ensuring that everyone can benefit from AI.
The rules have changed. How companies actually know their customers — really know them — looks almost nothing like it did ten years ago. Old-school research methods are drowning. Too slow, too narrow, too dependent on humans manually stitching together datasets that have already gone cold. Markets shift in days now, not quarters. And the cost of a slow read on consumer behavior keeps climbing. This isn’t just a tooling upgrade. The underlying logic of how businesses decide what to build, what to charge, and who to reach has been gutted and rebuilt from scratch. Staying reactive isn’t a strategy anymore. It’s a liability.
1. Real-Time Data Processing and Pattern Recognition
Consumer intelligence used to run on stale numbers. Analysts dug into data weeks — sometimes months — after whatever actually happened. Modern AI kills that lag. Entirely. These systems chew through enormous volumes of behavioral data on the fly, surfacing patterns that human teams couldn’t find in the same timeframe with ten times the headcount. Machine learning algorithms can process millions of customer interactions, transactions, and behavioral signals simultaneously — pulling clean signal out of what would otherwise be undifferentiated noise. A retailer can track sentiment across social media, reviews, and support tickets right now, catching a brewing problem or an emerging trend in hours rather than weeks. Inventory shifts, pricing moves, message pivots — all of it happens before a trend fully crystallizes. That’s a different game entirely.
2. Predictive Analytics and Consumer Behavior Forecasting
Here’s what actually changed: AI stops consumer intelligence from being a backward-looking exercise. Instead of cataloguing what customers already did, companies can now forecast what they’re likely to do next — and with striking accuracy. Advanced ML models thread together historical patterns and live behavioral signals to predict churn, flag high-value prospects, and project demand across entire product lines. A telecom company can spot which customers are quietly drifting toward a competitor before they ever make the switch — and intervene first. That’s not a marginal improvement. It’s a fundamentally different posture. Resources flow toward the segments that actually matter, rather than spreading thin across the whole base and hoping something sticks.
3. Personalization at Scale
Consumers expect personalized experiences. Full stop. Meeting that expectation at scale — for millions of people at once — is simply beyond what human analysts and traditional segmentation can deliver. Machine learning models read individual purchase histories, browsing patterns, preferences, and demographic signals to build dynamic profiles that drive product recommendations, custom messaging, and tailored interfaces. When building and refining these individualized profiles, marketers who need to enrich their first-party data with verified behavioral signals rely on audience data providers to ensure their models are trained on accurate, high-quality consumer information. An e-commerce platform can serve each visitor a genuinely different experience — different layouts, different offers, different content — all built around that visitor’s unique fingerprint. Conversion lifts. Lifetime value climbs. People respond when recommendations actually fit their lives, not just the average of everyone else’s.
4. Sentiment Analysis and Brand Perception Monitoring
Knowing how consumers feel about a brand means wading through unstructured mess. Reviews, comment threads, support tickets, social posts, video captions — none of it parses cleanly by hand at any useful speed. Natural language processing handles it. NLP systems automatically scan text-based content across digital channels, classifying sentiment as positive, negative, or neutral while bucketing feedback by topic, product feature, or customer segment. An automaker can track online conversations about a specific reliability concern and catch it before it snowballs into a full-blown reputation crisis. No waiting for quarterly surveys. No lag. Brand perception monitoring becomes continuous — and decisions about product fixes, messaging shifts, or service interventions get grounded in real signal rather than gut instinct.
5. Competitive Intelligence and Market Positioning Analysis
Competitive intelligence used to mean manual tracking, sprawling spreadsheets, and perpetually incomplete pictures. AI automates the entire collection-and-analysis loop. ML models watch competitor pricing moves, product launches, promotions, and messaging shifts across digital channels — then stack that data against a company’s own position. Gaps surface. Threats register earlier. A financial services firm can monitor exactly which themes competitors are pushing on social media and which ones are actually generating engagement — then sharpen their own positioning accordingly. Real-time visibility into competitive dynamics means strategic calls about where to invest, which markets to enter, and how to stand apart in crowded categories aren’t made blind anymore.
Conclusion
What AI has done to consumer intelligence isn’t incremental. It’s structural. Real-time processing of massive datasets. Forecasting future behavior instead of autopsying the past. Personalization that reaches millions, not hundreds. Continuous sentiment monitoring. Automated competitive tracking. None of these were realistic options a decade ago. They are now. Companies that wire these capabilities into their core operations make faster, sharper decisions — ones that show up directly in revenue, satisfaction scores, and market share. Those that don’t will keep falling further behind. And the gap between organizations that wield these tools well and those still grinding through traditional approaches? It’s not closing. It’s widening every quarter.
By Adedapo Adesanya
Redtech, a financial technology company backed by Mr Tony Elumelu’s Heirs Holdings, has intensified its pan-African expansion strategy as it extends its payment infrastructure beyond Nigeria and leverages recent global recognition to strengthen its footprint across the continent.
The fintech firm was named in the payments category of the World’s Top Fintech Companies 2026 ranking by CNBC and Statista. It is among the only 11 African companies recognised in this year’s edition.
Developed by CNBC and Statista, the annual ranking identifies 500 leading fintech companies from a pool of more than 3,500 businesses worldwide. Serving as a data-driven benchmark, the ranking highlights companies shaping the future of financial services through technology, innovation and scalable digital solutions.
The company said it is accelerating its push into new African markets with the rollout of digital banking and payment solutions.
As part of this expansion, the UBA RedPay mobile application is now operational in Benin, Burkina Faso, Côte d’Ivoire, Mali and Senegal, marking the company’s first significant digital banking presence outside Nigeria.
It has also introduced virtual account services in Ghana through a partnership with UBA, broadening its payment collection capabilities in West Africa.
The company said the move aligns with its long-term ambition to build a unified payment infrastructure that enables businesses to collect, process, reconcile, disburse and manage funds seamlessly across African markets.
Commenting on the company’s growth strategy, the chief executive of Redtech, Mr Emmanuel Ojo, said Africa’s increasingly interconnected digital economy requires payment infrastructure that can support cross-border commerce.
“Recognition from CNBC and Statista reflects the growing relevance of African Fintech companies on the global stage and validates our ambition to build Redtech into Africa’s payment infrastructure company.
“We are building the technology that enables businesses of every size to collect, pay and manage money seamlessly across channels and markets. As African commerce becomes increasingly digitally connected across multiple market borders, businesses need payment infrastructure that is reliable, secure, interoperable and designed for the realities of operating across the continent.
“Our goal is to help power that growth by making payments simpler and more connected for African businesses, while building solutions that reflect global standards.”
Redtech continues to scale its operations, with available numbers showing that the fintech has processed approximately N45.84 trillion ($33.21 billion) in transaction value through its flagship RedPay platform and deployed more than 55,000 point-of-sale terminals serving merchants across sectors including banking, fintech, retail, hospitality, energy and utilities.
Looking ahead, the company said it plans to expand its collections and financial infrastructure capabilities across all 54 African countries, enabling businesses and financial institutions to manage transactions across multiple markets through a single technology platform.
Technology
CREDICORP Expands Consumer Credit for Locally-assembled Digital Devices With C.L.I.C.K.D.
By Modupe Gbadeyanka
To expand affordable consumer credit for locally assembled laptops and devices for digital workers, the Nigerian Consumer Credit Corporation (CREDICORP) has launched the C.L.I.C.K.D (Credit for Laptops, Internet, Connectivity and Knowledge Digital Devices) scheme.
This initiative is in partnership with the federal government through the Three Million Technical Talent (3MTT) Programme.
It was designed to democratise access to consumer credit, expand economic opportunity and empower millions of Nigerians to improve their quality of life through responsible borrowing.
At the unveiling of the scheme on Tuesday in Abuja at the Afreximbank African Trade Centre (AATC), the chief executive of CREDICORP, Mr Uzoma Nwagba, said the initiative focuses on fellows’ training through the Learn2Earn platform, many of whom are acquiring in-demand digital skills without access to the devices needed to complete their training and transition into employment or entrepreneurship.
Delivered in collaboration with Fidelity Bank as credit administration partner and NASENI and Imose Technologies as device manufacturers, it will provide 1,000 locally assembled laptops to eligible fellows across Nigeria, with 77 beneficiaries in Abuja receiving their devices at the launch ceremony as the first phase of a nationwide rollout.
Assembling the devices in Nigeria shows how consumer credit can expand digital inclusion, strengthen local manufacturing and deepen the country’s technology ecosystem.
“C.L.I.C.K.D. transforms digital devices from a barrier into an opportunity. By embedding affordable consumer credit into a national talent programme like 3MTT, starting with locally assembled laptops, we are giving qualifying Nigerians a responsible pathway to the tools they need to learn, work and earn, while advancing the federal government’s vision for industrial development and job creation on both sides,” Mr Nwagba averred.
Also commenting, the Minister of Communications, Innovation and Digital Economy, Mr Bosun Tijani, said, “Nigeria’s digital economy can only thrive when our people have both the skills and the tools to succeed.
“Through C.L.I.C.K.D., we are helping qualifying Nigerians participate more fully in the opportunities created by the 3MTT initiative while strengthening local manufacturing through the use of locally assembled devices.”
C.L.I.C.K.D. is CREDICORP’s flagship device financing initiative, open to working Nigerians nationwide, with the 3MTT programme as launch partner for this first phase. Interested Nigerians can register at www.credicorp.ng/clickd.
