Sustainability is becoming increasingly central, and companies must adopt advanced solutions to tackle the challenges of ESG (Environmental, Social, Governance) strategies.
Q-ESG is an innovative digital platform that integrates Quantum Decision Making, Generative Artificial Intelligence, and Quantum Mechanics to optimize and automate corporate decision-making in sustainability, supporting the monitoring and forecasting of ESG impact.
The main objective of Q-ESG is to support long-term strategic decisions, helping organizations make conscious, transparent, and reliable choices in the ESG field. By leveraging Quantum Decision Making, which utilizes mathematical models and Quantum Mechanics, the platform enhances corporate decision-making processes, enabling fast and optimal decisions to increase sustainability and efficiency.
Q-ESG follows a human-centric approach, optimizing ESG strategies and automating evaluations to support responsible decision-making in Industry 5.0.
On March 26, 2025, an unmissable event on technological innovation applied to sustainability will take place at BI-REX in Bologna. The event will be held from 2:30 PM to 6:00 PM at Via Paolo Nanni Costa 20, Bologna.
Event Agenda:
-
2:30 PM – Participant registration & welcome coffee
-
3:00 PM – Welcome and institutional greetings from BI-REX
-
3:30 PM – Presentation of the Q-ESG project by Marcello Marconi and Alberto Garinei
-
4:00 PM – “An LLM-based approach for measuring ESG performance”, speech by Alberto Garinei
-
4:30 PM – “Q-ESG Quantum Decision Making Algorithms”, by Massimiliano Proietti
-
5:00 PM – Demo session of the Q-ESG digital platform
-
5:30 PM – Tour of the Pilot Line (optional)
Speakers:
-
Marcello Marconi – Legal Representative of Gruppo Referentia & CEO of Idea-Re
-
Alberto Garinei – Full Professor of Mechanical and Thermal Measurements, DSI – Università degli Studi Guglielmo Marconi, Scientific Director of Idea-Re S.r.l.
-
Massimiliano Proietti – Senior Data Scientist at Idea-Re S.r.l.
Register now via the official link: https://go.bi-rex.it/l/940463/2025-03-03/v2l7md