Real estate assets and urban regeneration: data and AI for more effective decisions

10 Dec 2025

Event: “Real Estate SGRs: from financial statements to 2025 strategies”

The management of real estate assets is undergoing a paradigm shift, moving from an administrative function to an industrial, digital, and predictive process. Initiatives such as the Atlante Project for the real estate assets of Rome Capital illustrate the contribution RINA Prime can offer in transforming one of Europe’s largest public portfolios into a single, integrated information infrastructure, where each property is recorded, georeferenced, and connected to technical, administrative, energy, and maintenance data.

In this context, artificial intelligence does not replace expertise, but enhances it. It analyzes large volumes of information, identifies critical issues before they emerge, and supports decision making on maintenance, investments, and asset enhancement.

The same approach is crucial for urban regeneration, which today goes beyond the refurbishment of individual buildings and focuses on the transformation of entire urban areas. Without integrated data sets covering urban planning, energy, infrastructure, social, and financial aspects, it is not possible to develop regeneration plans that are credible, sustainable, and capable of attracting private capital alongside public resources. Data, digital platforms, and AI make it possible to simulate scenarios, measure real environmental benefits, assess risks, and monitor the evolution of neighborhoods over time.

It is at this point that an operator such as RINA Prime can make a distinctive contribution, integrating technical, financial, and digital expertise into a unified vision, capable of turning real estate management and urban regeneration into concrete drivers of development for cities, institutions, and investors.

These topics were addressed by Ugo Giordano during the event “Real Estate SGRs: from financial statements to 2025 strategies”.