Target groups

The target groups are the participants themselves, HEIs, businesses, research institutes, etc involved using the opportunities provided by the use of artificial intelligence:
• HEIs: academic institutions will get knowledge transfer from industry and external experts (practitioners), new pedagogigal approach and methodology and quality of education measured in terms of transversal skills and graduates preparation for
current and future job markets. They will also build stronger and longer partnerships with employers, make a switch to student-and problem-centred learning regarding pedagogy, curriculum, and quality assurance; increased capacity of HEIs to adapt to changing needs and to re-connect with their communities.
• managers of SMEs: creation of more sustainable business models, product and services, inspired by real needs, more original innovation that involves academic engagement. FAAI will help enterprise regard HEIs as privileged partners, rather than paid service providers in the knowledge supply chain.
• researchers and experts in innovation management will get the chance to overcome the fragmentation of research activities and to create a supportive business environment for new research as well as apply their expertise in different real business challenges.
• students will get the opportunity to apply all their knowledge and skills gained during their studies and leveraging to develop new ones related to IM. FAAI provides a “safe environment” to test them. In addition students will work in teams with their peers and teachers will act as mentors that provide guidance in the working process.
Indirect target groups that will be impacted by FAAI are:
• EU and national public administration: they will benefit from created innovation and collaboration models that will propose innovative approaches and a better use of existing resources, particularly important at a time of reduced public finance.