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    Home » What CIOs can do to convert AI hype into tangible business outcomes
    World Economy

    What CIOs can do to convert AI hype into tangible business outcomes

    morshediBy morshediMay 12, 2025No Comments2 Mins Read
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    Werner Leithgöb, Lactalis Southern Africa

    Lactalis

    Werner Leithgöb, IT director of dairy producer Lactalis Southern Africa, agrees. He believes the elevated hype round AI solely scratches the floor of what these instruments can do. “When the Amazon Alexa first got here out, everyone thought it was so superior since you may work together with the gadgets in your house ecosystem utilizing voice instructions. However I assure that 99% of shoppers who’ve one use it purely to stream music. So, primarily it’s a glorified speaker. For me, AI could be very comparable. With the intention to make the most of this know-how correctly, you must be very deliberate and outline clear use cases for it so individuals can see what worth it provides.” As a part of being deliberate, he says, you need to recurrently use the know-how so it turns into a part of how you’re employed.

    Maximizing potential

    As use circumstances evolve, simply experimenting with AI for the sake of innovation doesn’t minimize it anymore, says Jenny Mohanlall, senior director for IT at DHL South Africa. “It’s about leveraging it to unravel actual issues, drive effectivity, and create significant affect,” she says. For many organizations, AI priorities are centered on enhancing the customer experience and revolutionizing operations and methods of working.

    Jenny Mohanlall, DHL South Africa

    Jenny Mohanlall, DHL South Africa

    DHL

    The findings of Foundry’s AI Priorities Examine help this, highlighting that IT departments are extra readily partnering with different enterprise items, like customer support and advertising and marketing, to make sure AI adoption aligns with broader enterprise objectives. By leveraging AI instruments to streamline and enhance one thing like buyer help, it’s potential to unencumber human brokers to deal with extra complicated points. And through the use of sentiment evaluation instruments to dig into buyer suggestions, companies can determine areas for enchancment and deal with points earlier than they escalate. “Some even take it a step additional with predictive help, the place AI anticipates buyer wants and proactively addresses points earlier than they escalate,” says Mohanlall. “Think about a state of affairs the place a chatbot not solely solutions questions but additionally predicts what a buyer would possibly want subsequent based mostly on their habits. That is the sort of innovation that’s remodeling customer support.”



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