Smart City: the evolution of digital urban services

Evolving into a Smart City means going beyond the adoption of individual technologies to create an advanced urban model that brings together digital technologies, data analytics and smart services within a single ecosystem, where innovation, governance and infrastructure work together to make cities more efficient, connected and responsive to the needs of those who live and work in them.

At Engineering, we contribute to building this model by addressing all the key areas of urban transformation, including mobility, urban and road safety, the digitalization of administrative processes, the enhancement of museums and cultural sites, and tourism development, enabling data-driven decision-making and more effective services.

Public-private partnerships (PPPs) are an increasingly effective tool for the digital transformation of Public Administration, delivering benefits in terms of cost savings for public authorities and improved services for citizens.

Building a Smart City requires:

• specialized expertise that can be difficult to source internally
• advanced technologies developed by the market
• overcoming the fragmentation of individual initiatives.

Through public-private partnerships, public administrators can turn transformation programs into reality, while municipalities can innovate by leveraging ideas and solutions from the market, in compliance with public procurement and transparency requirements and without additional costs.

Artificial Intelligence is a strategic enabler for modernizing local Public Administration and simplifying interactions between citizens and public authorities. AI enables municipalities and their publicly owned companies to:

• improve the accessibility and usability of digital services
• provide citizens and public-sector employees with agentic digital assistants
• manage mobility, resources, tourist flows and more through predictive capabilities
• automate time-consuming administrative activities, such as certified email (PEC) management, invoice processing and document classification.