Gap analysis: Understating of AI potential

In order to deliver a well-rounded, high value transferable educational and training programme in AI it is necessary to uncover, on one hand, academic supply of the practice (especially in educational community) related to AI accessible at Higher Education Institutions (especially MBA programs) and other education providers in partner countries and, on the other hand, to analyze the current market needs in terms of competences and experience required for AI community actors and other occupations using AI.

Recent studies refer to AI as “The intelligence is artificial.” The implications are very real pointing out the importance of what is happening around us – shared data, social engagement, digital assistants, cloud platforms, connected devices – is not about people versus machines. For organizations to perform, compete and break through, they need to create a competitive advantage by tapping the power of well-structured data with design thinking with analytics with machines. This project will empower the most potent professionals, those among MBA candidates or decisionmakers already on C-level roles to gain an advantage by transforming business processes to drive real, tangible outcomes.

Project Result 1 is therefore focused on the knowledge we already have but structure into a detailed report with an in-depth overview of issues/challenges different stakeholders have when approaching AI with the aim to describe AI potential and steps towards education paths for (i) HEIs with focus on MBA courses: identification of current education provision, methodologies and challenges facing technology improvements which constantly and profoundly affects in AI. (ii) Business sector: analyze of market needs based on the domain specific characteristics in both partner countries and at the European level in respect to relevant occupations. (iii) Identification of education training needs to be provided implementing the project activities.

This output represents the background for designing and structuring syllabi, educational materials and pilot cases that are envisaged within next project results. In other words, it will offer methodology guidelines for structuring cases, most frequently requested domain-specific AI and a report containing different inventory opportunities.