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    Home»Nigeria Economy»The history of AI: From logic to learning machines
    Nigeria Economy

    The history of AI: From logic to learning machines

    NigeriaNewzBy NigeriaNewzAugust 21, 2025No Comments5 Mins Read
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    Not too way back, in the event you talked about Synthetic Intelligence (AI) in Nigerian boardrooms, it appeared like science fiction. Folks imagined robots strolling the streets of Lagos or computer systems plotting to take over the world.

    Immediately, AI is now not a fantasy; it’s already an integral a part of our on a regular basis lives.

    From unlocking your telephone together with your face to fraud detection in banks, and from drones serving to farmers farm extra effectively to AI-driven improvements, AI is quietly reshaping how we dwell and conduct enterprise. Nonetheless, to grasp why AI is such a big growth for Nigeria and past, we have to take a step again and look at its origins.

    “Whether or not it’s utilizing AI to attain strategic enterprise goals, enhancing customer support, or boosting meals safety, AI isn’t right here to exchange us. It’s right here to amplify us.”

    The primary spark: Can a machine actually suppose?
    The story of AI is, in essence, the story of human curiosity. Within the early twentieth century, mathematicians corresponding to George Boole launched Boolean logic: the straightforward language that powers each laptop at present.

    Then got here Alan Turing, the British mathematician whose ingenuity helped crack Nazi codes throughout World Warfare II. Turing wasn’t simply fixing puzzles; he was asking deeper questions: Can machines suppose? His well-known “Turing Take a look at” challenged the world to think about a pc so clever that you just couldn’t inform it other than a human in dialog.
    That was the primary spark of AI: not machines, however concepts.

    The beginning of Synthetic Intelligence

    In 1956, at a small gathering at Dartmouth Faculty within the U.S., a gaggle of scientists coined the time period “Synthetic Intelligence”. Their dream was daring: machines that would motive, study, and possibly even think about.

    Early AI methods had been constructed as “skilled methods”: rule-based machines that would remedy particular issues. For instance, in the event you gave them a medical dataset, they may diagnose ailments utilizing programmed guidelines. However there was an issue: life is messy. Guidelines break down when actuality shifts. And so, regardless of early hype, AI struggled to ship.

    Learn additionally: What is Artificial Intelligence? A beginner’s guide for business leaders in Nigeria

    The AI winter and heat comebacks

    The Seventies and 80s introduced what specialists referred to as “AI Winters”. Funding dried up, public curiosity waned, and lots of thought of AI a failed experiment.

    The excellent news was that AI didn’t die. By the Nineties, the web increase had begun, digital knowledge was exploding, and laptop energy was changing into cheaper and sooner. This time, AI had gasoline. Neural networks, fashions impressed by the human mind, took centre stage. They weren’t instructed each rule; as an alternative, they learnt from examples.

    This was the second AI shifted from logic to studying.

    Studying machines in motion

    Consider it this manner: as an alternative of telling a pc each doable manner a fraudulent motion or transaction would possibly look, you feed it hundreds of thousands of examples till it learns to identify suspicious exercise by itself. That’s how fraud detection works in Nigerian banks at present.

    That is the facility of studying machines. They adapt. They enhance. They usually by no means cease studying. From chatbots in customer support to precision farming, AI has moved from concept to observe.

    The generative revolution

    Quick ahead to the 2020s. Instantly, AI wasn’t simply recognising patterns; it was creating.

    Generative AI instruments like ChatGPT, Gemini, Meta AI, and others can draft enterprise emails, write software program code, design ads, and even recommend new enterprise concepts.

    This was not a small step. It was a leap. For enterprise leaders in Nigeria, it means AI is now not elective. It’s changing into a important enterprise software, as important as Excel or electronic mail. The leaders who embrace it can outpace those that hesitate.

    Adapting AI for Nigeria: Why this issues
    AI isn’t science fiction in Nigeria. Throughout the nation, AI is already:

    Serving to monetary service firms battle fraud.

    Powering revolutionary diagnostics in well being startups

    Implementing velocity limits on the third Mainland Bridge in Lagos.

    Supporting agritech startups that use drones and AI to spice up yields.

    Nonetheless, the most important problem isn’t entry to AI. It’s readiness, AI literacy, and the right adaptation. Too typically, AI is seen as a distant development. In actuality, it’s a software to resolve Nigerian issues if we’re daring sufficient to embrace it.

    From logic to management

    The historical past of AI reveals a elementary reality: each breakthrough has begun with a query.

    Turing requested if machines might suppose. The scientists at Dartmouth requested if they may study. Immediately, Nigerian enterprise leaders should ask: how can AI remedy our distinctive challenges?

    Whether or not it’s utilizing AI to attain strategic enterprise goals, enhancing customer support, or boosting meals safety, AI isn’t right here to exchange us. It’s right here to amplify us. The query is whether or not we’re able to scale and lead with AI.

    As a result of the historical past of AI isn’t just about machines; it’s about folks: leaders, innovators, and entrepreneurs who select to form the long run.

    Dotun Adeoye is a seasoned know-how strategist and AI innovation chief with over 30 years of worldwide expertise throughout Europe, North America, Asia, and Africa. He’s the co-founder of AI in Nigeria. Dotun combines in-depth trade experience with a ardour for empowering rising markets by means of the accountable adoption of AI.



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