Using a bayesian approach, Pangea Formazione was able to forecast the energy produced by solar farms. The analysis of past data allowed to link weather conditions to both solar radiation and the performance of photovoltaic systems, thus getting a reliable forecast about the production of energy in the next future. This result is crucial for the sale and offer in the energy market.
Pangea Formazione worked in collaboration with an Italian industry to analyse the reliability of the components productive processes and to monitor the synergy of the industrial processes. This was done using the Bayesian approch as a powerful tool to infer cause-effect relationships.
Pangea Formazione's support was requested to make previsions regarding cost-revenue benefits derived from commercial agreements between more than 200 foreign partners. The Bayesian approach applied to the prevision of influential business variables allowing the exploitation of profitable opportunity.
Using a Bayesian network based technique, Pangea Formazione provided an important contribution to the customer website optimisation, with the aim to make surfing more productive and user-friendly.
Pangea Formazione provided rational previsions on the amount of virtual machine requests in the near future, in order to speed up the delivery process to the customer.
Pangea Formazione provided support to the activity of fraud detection and prevention by exploiting several techniques such as Bayesian network and artificial intelligence algorithms.
Pangea Formazione developed a prevision model of call traffic based on Bayesian inference. This tool was devised as a functional support for the negotiation activity between operators, and it revealed to be a useful support to clients offers planning.