Case Study
Snam: AI & Advanced Analytics for Gas transportation
With Engineering, we have innovated the approach to the analysis of Unaccounted for Gas. The application of AI and Machine Learning algorithms makes it easier to analyze some of the underlying phenomena of UFG and consequently enables users to take necessary corrective actions.
Reduced Unaccounted for Gas
Improved quality of data analysis
From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
Introduction and Implementation of the GOL Program
Introduction of the Workers Employability Guarantee Program (GOL) in Information Systems for Employment and Vocational Training.
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
Introduction and Implementation of the GOL Program
Introduction of the Workers Employability Guarantee Program (GOL) in Information Systems for Employment and Vocational Training.
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