RESEARCH AND DEVELOPMENT
AI in Copernico Square
Adopting an “ambidextrous” approach by Charles O'Reilly and Michael Tushman (Harvard Business Review, 2004), We combine research activities with our operational activities in a process of continuous improvement, which draws inspiration not only from the study of the world innovation, but also give them input which we collect from customers and feedback of the participants in our courses.
Thanks to an internal R&D team we constantly invest in innovation, and in particular in the most promising themes of'innovation of training processes:
- training and user experience improvement applications,
- data valorization,
- digitalization of the processes of design, development and delivery of training processes.
The fundamental pillars of innovation
Adaptability
innovation in training tools must pursue the adaptation of training to individual needs
Data confidentiality
interaction with AI can take place in a controlled and confidential manner, through adequate management of the technology
Compliance with AI ACT
adopt codes of conduct and practices to ensure outcomes, transparency and confidentiality in all interactions with AI
Multidisciplinarity in AI
AI projects are born from the collaboration of different experts: data scientists, full stack developers, training process experts, linguists and process owners
Tracking
All interactions with AI are tracked and analyzed with qualitative and quantitative metrics and (where necessary) are used to train AI models.
Governance
- Choosing between local LLMs vs APIs
- Governance and explainability of the integrated AI pipeline between NLP and LLM models
- Cost Control and Data Policy
Relations with the Academy
Since the beginning of the innovation journey in 2016, we have chosen to adopt a process of open innovation through an ongoing dialogue with the Academy.
AI, and innovation in general, pose new and current problems on which the continuous comparison with researchers it is essential to be able to study solutions suited to the complexity of potential uses.
Our Research and development process has a specific procedure:
Only through these steps can we release rigorously controlled AI applications, which integrate theoretical knowledge and our expertise in AI and Training.
Over time we have developed collaborative relationships in the field of research with Institutions, National Research Organizations, Universities, Companies, and we plan to further enrich this already extensive list of prestigious collaborations.
Training and Organizations
Artificial Intelligence and Data Science
Other areas of collaboration
Support for Masters and internships
Department of Humanities, and partnership with the Master in “Artificial Intelligence for Human Sciences”.
Masters in Data Sciences of the Engineering Department of the "Mario Lucertini" company
Dept. of Engineering
Department of Mathematics and Physics (particularly in the context of Master in Data Analytics) and DIIEM Department.
University companies
Competence Center
Projects and software
Il R&D team of Piazza Copernico deals with three types of projects
Support for the digitalization of Piazza Copernico instruments and their implementation, in collaboration with all company specialists
In the training field, it is important to integrate artificial intelligence with specialized usage models on training strategies, seek coherence with individual learning processes, and enhance corporate content.
AI LEARNING TOOL
Research projects in collaboration with universities, support for theses and doctorates, participation in funded projects
Research and development activities funded in collaboration with research institutions, focused on specific themes of application of new technologies and innovation in training and evaluation processes.
CONTACT US
Artificial Intelligence projects applied in other business sectors (Customer Care, IT, Operations,…)
Application of know-how acquired in the training field on NLP models and artificial intelligence for the analysis of operational data.
CONTACT US
The AI assets in the Piazza Copernico training tools are:
- LLM model choice (Api vs local inference)
- Ability to choose data privacy and interactions
- Full Tracking and Metrics
- Cost Governance
- Information, disclaimer, Ai Act compliance
FOR MORE INFORMATION
