Data Platforms, AI & Digital Twins

Urban data platforms are how cities make their own data legible to themselves. FIWARE has become a European reference stack (Helsinki, Porto, Cordoba, Antwerp); CKAN, GAIA-X, the Common European Data Space for Smart Communities, and the OASC MIMs framework all converge on interoperability across cities. Digital twins — 3D representations linked to live data feeds — have moved from showcase to operational tool in Helsinki, Rotterdam, Zurich and many others.

AI sits inside this leaf only when it is infrastructure: AI platforms, MLOps for urban applications, predictive modelling and computer-vision pipelines hosted on city data spaces. Domain-specific AI (AI for traffic, AI for energy grids, AI for citizen services) lives in the cluster where it is applied. The AI Act, the EU AI Office, and the European Centre of Excellence for Trustworthy AI shape the regulatory frame.

This leaf collects resources on city data platforms, data spaces and sovereignty, digital twins, AI infrastructure and MLOps, dashboards and visualisation, and the data-governance work behind them — for urban CIOs, data engineers, digital-twin teams and AI infrastructure leads.