A student recently asked: “How can AI transform the relationships between the U.S. and African countries?” The premise is compelling—AI has the potential to drive transparency, trade, and governance reform, resetting relationships on healthier grounds.
But we’ve seen this movie before.
Read MoreFor years, we’ve heard that breaking down data silos is the holy grail of business transformation. We’ve been told that better pipelines, integrated analytics, and AI-driven decision-making will finally unlock the full potential of enterprise data. But here’s the question no one seems to ask: What if we’re still thinking too small?
The real challenge isn’t just technological—it’s conceptual. We don’t just need better data governance or cleaner metadata. We need a way of thinking that moves beyond technical optimization and into deeper creative problem-solving. That’s where multidisciplinary thinking comes in.
Read MoreThe AI Investment Paradox Generative AI is dominating headlines, while predictive AI quietly powers businesses behind the scenes. Despite delivering far greater returns in efficiency and cost savings, predictive AI receives nearly the same level of investment as its flashier counterpart. Why? The answer lies in perception: generative AI dazzles with its creative outputs, while predictive AI quietly drives results. Yet for businesses seeking measurable ROI, predictive AI remains the unsung hero.
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