Almaviva, con Ultra la sfida dell’AI su misura per le aziende e la Pa

Intelligenza artificiale (AI) is becoming increasingly important for businesses and public administration as companies strive to find precise solutions, protect data, and understand the responsibility for decisions. Almaviva, an international group with more than 40,000 employees and over 65 companies with pro forma revenues over 1.8 billion in 2025, is tackling this challenge with Ultra, its new AI system that brings together technology, expertise, and solutions.

Presented at the "Value of AI" conference in Rome, Ultra aims to create customized, manageable, and secure AI models tailored to specific problems.

Key stakeholders in the discussion included Valeria Vittimberga (Inps), Cristiano Cannarsa (Sogei), Paolo Cotti Cometti (Cineca), Domenico Scida (Gruppo Fs), Mario Nobile (Agid), Gianluigi Greco (Rettore Università della Calabria and president of the National AI Committee), Maurizio Trapanese (Aifa), Eugenio Di Sciascio (Assessore Regione Puglia), and Andrea Urbani (Regione Lazio).

The objective is to develop AI models that are lightweight, governable, and secure, designed around the problem to be solved. Although the presentation didn't quantify savings or productivity increases, the cases discussed involved welfare language models for a previsional entity and Aifa.

Almaviva's CEO, Marco Tripi, emphasized that the value of AI lies in the problems it solves and the results it makes possible. Ultra serves as a comprehensive framework encapsulating Almaviva's vision of AI, addressing how the group plans to translate AI impact into measurable value for businesses and the public sector. The group's assets span various sectors, from healthcare to finance, transport, and water management, where errors can have significant consequences.

Ultra focuses on data governance, traceability, confidentiality, and integration with existing systems. According to Valeria Sandei, Almaviva's global AI responsible and president of Almawave Labs, the key question today is not whether to use AI, but rather how to move from theory to practice, overcoming the complexities of these technologies and delivering practical, measurable solutions to concrete needs.