Artificial Intelligence

We have a natural talent for applying Artificial Intelligence to your processes

Technologies are ready to meet the computational challenges thrown up by the evolution of AI. Now, companies need a project-driven approach that enables them to introduce Artificial Intelligence into their business processes

 CASE HISTORY Manufacturing & Distribution, Artificial Intelligence, Digital Trasformation

• Intelligenza Artificiale • Innovazione • Manufacturing • Trasformazione Digitale

Smart Material Planning for MASTER ITALY:
Artificial Intelligence in Logistics

 CASE HISTORY Banking, Finance & Insurance, Artificial Intelligence, Digital Trasformation

Digital Transformation: interpretare la vision di Banca Popolare di Puglia e Basilicata in termini di scenari di business

BPPB improves processes and services, from the back office to the front office

 CASE HISTORY Public Sector, Artificial Intelligence

The Municipality of Bari is the first in Italy to adopt a Virtual Solution capable of managing citizen requests remotely

Public Administration is more efficient with Service Digitalisation

Services&Solutions
Artificial Intelligence Robotic Process Automation and Hyperautomation

A unique proposition on the market

Services&Solutions
Automatic Failure Detection:
we have a VISION for your company

Predictive Maintenance
Aerial Imagery and Artificial Intelligence serving a virtual inspection platform for the infrastructure network, fostering sustainable Digital Transformation.

Partnership
Partnership
QuestIT, Exprivia Group's Artificial Intelligence shines
Questions and answers
Robotic Process Automation: what is the situation today?
  • Areas of application
  • Impact on processes
  • Take full advantage of its benefits
Focus
Predicting clinical risk: Artificial Intelligence at the service of patients

Andrea Pazienza Innovation Lab Exprivia

The research carried out by theExprivia Innovation Lab and published in the international Evolving Systemsjournal analyses how to exploit the best Machine Learning model to predict the clinical risk category of patients with a limited number of vital parameters.