UpCloud will show why the AI race in Europe is ultimately a question of sovereignty, infrastructure, and control. Many US hyperscaler offerings appear local, but remain legally and technologically tied to global structures and fall under the US Cloud Act \u2014bringing lacking data privacy, vendor lock-in, proprietary services, limited flexibility, and often higher costs. <\/p>\n\n\n\n
With models and data are frequently systemically bound within these ecosystems. Using UpCloud as an example, we illustrate how European cloud infrastructure provides real alternatives: clear jurisdiction, open architectures, and customer-centric flexibility. For decision-makers, the focus is on building AI capabilities that are sovereign, high-performing, and independent.<\/p>\n\n\n\n
In this session, Arno breaks down:<\/p>\n\n\n\n
\u2022 Why many \u201clocal\u201d hyperscaler solutions are still tied to global control and the US Cloud Act
\u2022 The real risks: data privacy gaps, vendor lock-in, limited flexibility, and rising costs
\u2022 How European cloud infrastructure offers a true alternative with clear jurisdiction and open architectures
\u2022 What it takes to build AI capabilities that are sovereign, high-performing, and independent<\/p>\n\n\n\n
If you\u2019re making decisions about AI, cloud, or data strategy then this is a conversation you can\u2019t afford to miss.<\/p>\n\n\n\n