Seven Layers

I have recently been speaking to customers who have concerns with using AI and large language models (LLM) within a specific geographic area. As always, reading up on this stuff, these are my notes - trying not to make it a complete word-salad: The Labyrinth of Sovereignty Navigating the Challenges of AI in a Data-Defined World The rise of artificial intelligence (AI) has ushered in an era of unprecedented potential, transforming industries and reshaping the very fabric of our lives. However, this technological revolution is unfolding against a complex backdrop of evolving data privacy regulations and a growing emphasis on data sovereignty. For enterprises seeking to harness the power of AI, navigating this intricate landscape presents a formidable challenge.  Data sovereignty, at its core, is the principle that data is subject to the laws and regulations of the jurisdiction in which it is collected or processed. This concept, while seemingly straightforward, becomes incredibly nu...

Introduction Data centres have become the backbone of the digital economy, supporting everything from cloud computing to artificial intelligence and e-commerce. However, their enormous energy consumption presents a significant challenge for operators , especially as sustainability and cost-efficiency become critical concerns. Traditionally, data centres were built in regions with established infrastructure and access to major markets. However, a growing trend sees operators shifting to locations with lower energy costs , often at the expense of traditional business hubs. This analysis explores the key drivers behind this shift and its implications for the industry. The Impact of Energy Costs on Datacentre Operations The High Energy Demand of Data Centres Data centres consume vast amounts of electricity, primarily for powering servers and cooling systems. Estimates suggest that global data centres use approximately 1-2% of the world’s electricity, with some hyperscale facilities consumi...