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
November 2025
Let me take you to a day in my life, ten years from now. It’s 2035, and in just one short decade the world feels radically different. Not because we’ve become more robotic, but because we’ve become more human. Technology doesn’t dominate life anymore; it […]
November 2025
Perhaps the most important change I have seen in the last couple of years is how digital technology has moved from the sidelines to the core of company business models. So much so that it now defines how they operate. More and more, our society […]
November 2025
The UK’s justice system is transforming. Digital innovation and, increasingly, artificial intelligence, are reshaping how justice is delivered, accessed, and experienced. From case management and rehabilitation to communication and security, digital innovation is helping to create smarter, fairer justice systems, both here and internationally. For […]
November 2025
AI needs to become creative and explorative, and to take on reasoning tasks at which humans naturally excel – yet with greater capacity for complexity, bandwidth, and background knowledge. In turn, this opens up or responds to (with both a “push” and “pull”), radical applications […]
November 2025
The limits of “Bigger Is Better” The logic of scale is seductive. Organisations like OpenAI, Google DeepMind, and Anthropic argue that bigger models bring predictable gains in reasoning and creativity. But evidence is emerging that this assumption is starting to falter and that generative AI […]
November 2025
I’ve watched UK organisations pour millions into AI initiatives that deliver far less than expected. Not because the technology doesn’t work, but because we’re making a fundamental strategic error. We’re treating AI procurement as a binary choice between build it ourselves or buy it from […]
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