Data is the fuel for AI. Like any engine, left untended it will sputter and stall. So it is vital that Leaders invest in data governance, security, and scalable architecture. Just like a powerful engine needs clean fuel, AI relies on high-quality data. Data governance ensures data collection, storage, and usage are ethical and efficient. A scalable architecture will allow your AI systems to handle increasing data volumes and user demands. In this topic, we help leaders understand this vital element of AI because, without these crucial elements, your AI efforts will struggle to perform at their best.
A talk by María de las Nieves Hernandez Solano Business Development Manager for Data Sovereignty, AWS
A talk by Faris Haddad, AABG Data & Insights lead, Amazon Web Services
A talk by Deepak Shukla AI and Data Lead for UK Public Sector, Amazon Web Services
May 2026
As a geographer, I’ve spent much of my career working with data in one form or another, and I keep returning to the problem of place. Not the romantic or cultural idea of place, but the technical one: how we label, index, and identify locations […]
April 2026
Across sectors, organisations are investing heavily in tools, pilots, and new capabilities, all with the aim of unlocking productivity gains and meaningful outcomes from AI. And yet, for many, that impact remains frustratingly out of reach. I’ve seen some that are stuck in cycles of […]
April 2026
Something is happening to work. Everyone can feel it. But ask for the evidence and you’ll get a dozen contradictory answers, each delivered with equal conviction. Welcome to the most confusing labour market story of our time. In the space of a single week in […]
February 2026
Recently I attended a House of Lords session on government technology reform and AI adoption. The discussion followed familiar patterns. Procurement constraints, talent development, modernisation imperatives, until one leader cut through with a simple challenge: “We must imagine what ‘different’ could look like.” The […]
January 2026
Not because AI doesn’t work. But because most organisations can’t prove it does. Forrester reports that fewer than one-third of executives can tie AI investments to financial growth. Meanwhile, CFOs are demanding what they should have asked for from the beginning: measurable returns. The AI […]
January 2026
As we head into 2026, the conversation about AI adoption has shifted. We’re no longer debating whether AI works. Instead, leaders and decision makers are wrestling with a more uncomfortable question: Why isn’t it delivering the transformative results we were promised? Ethan Mollick, the Wharton […]
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