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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines designed to make decisions and act like people. AI therefore has the goal, or rather the ambition, to emulate the cognitive abilities of human beings, increasing their effectiveness. At an operational level, AI is a set of technologies that can be used to support the innovation of business processes and services and, in particular it can be used for the analysis of data – even in unstructured form – the emulation of reasoning, the interpretation of natural language, the reading of images and texts, the ability to make predictions and generate suggestions, intelligent data retrieval and much more.

To give an idea of the level that these systems have reached, we asked AI to define itself, and the answer, however informative, fully covers the sense of the revolution that is still underway.

AI refers to the simulation of human intelligence in machines designed to think and act like humans. These machines are trained to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision making and language translation. The goal of AI research is to create systems that can perform tasks that normally require human intelligence and improve people’s lives.” – Source: Chat-GPT (openAI).

In this project, AI is part of the first line of services that are made available and will consist of verticalization of numerous sub-services:

ML-algorithms design, training, optimization (MLS)

Digital Twin Simulation (DTS)

Integration and Test services based on AI, smart sensors and AR (SmartIT).


High Performance Computing (HPC) is the use of highly advanced supercomputers and clusters to run complex, high-performance applications. HPC combines highly specialized hardware and software to provide parallel and distributed processing power to solve complex problems efficiently. It is used in many industries, including life sciences, finance, manufacturing, energy and health care, to support research and development and solve complex problems. In this project, HPC is part of the first line of services being made available and will consist in the verticalization of numerous sub-services:

▶ HPC as a service (HPCP).

Cloud Multicloud migration (CMM).


It is important that all companies adopt protection mechanisms for their data and infrastructure to guarantee the accessibility, integrity and confidentiality of data and systems at all times. To this end,, the cybersecurity services of the PRIDE project aim to support companies in the implementation of the main functions required by current standards, namely: 1) Identifying sensitive resources, i.e., analyze and understanding all systems, resources, data, structures, and processes of the information system and susceptible to attack; 2) Protecting the resources, i.e. setting up appropriate protection mechanisms for all the identified elements; 3) Detecting intrusions, i.e. implementing systems for detecting intrusions, infections and other illegal activities, basing on these specific interventions and recovery actions; 4) Responding to critical events according to appropriate strategies; and 5) Having strategies and tools for efficient and effective recovery of system operations and data in general. Within the PRIDE project, specific sub-services will cover:

Threat Modeling (TMS)

Cyber Risk Analysis (CYRA)

Security Compliance (SCS)

▶AIpredictive Monitoring (AISEC)