May 18, 2026
Training course designed to guide company management in acquiring the core competencies needed to use and manage artificial intelligence within their organization. The initiative aims to promote an AI culture that is ethical, transparent and centred on the human person, integrating technology into innovative processes without losing sight of the human role. The course meets the requirements of Law 132/2025 – references for mandatory training, starting from 2 August 2026, intended for Public Administrations (PA) and companies to fulfil the training obligations set out by the EU Regulation on Artificial Intelligence (AI Act). Objective: To provide participants with the essential technical, regulatory and practical knowledge needed to understand, govern and apply AI systems in compliance with the new European and national regulations (AI Act). The programme also aims to foster AI literacy, helping participants recognise how algorithms work, critically assess their limitations, risks and ethical aspects, and ensure a responsible and sustainable use of emerging technologies. The course is organised according to a new Business Lectures format in which sessions are structured into thematic modules, addressing three core areas in an integrated way: Inspirational session Guidelines, state of the art and trends. Strategic insights Technical deep-dive session Analysis and discussion of technical, legal and organisational aspects Technical fundamentals, focused on understanding how AI systems work, interpreting outputs, and analysing the performance and limitations of algorithms; Regulatory fundamentals, exploring the AI Act references, the risks of AI systems and their management; Applied hands-on training session Experiences and applied solutions Operational fundamentals, with hands-on lab applications aimed at exploring and using AI in daily work.Blog Archives
Executive Master in Decision Intelligence
December 3, 2025
The Executive Master in Decision Intelligence is an excellence training programme designed for professionals, managers, executives, public-sector officials, entrepreneurs and consultants who wish to strengthen their decision-making abilities and lead responsible innovation in the modern business context. What you will learn: This Master will give you advanced skills to tackle complex and uncertain decision-making processes, at strategic, organisational and economic levels. You will acquire fundamental skills in data analysis and interpretation, leveraging the latest Artificial Intelligence and Machine Learning technologies, integrated with solid foundations in behavioural, neuroscientific and technological evidence. Key Objectives: Improve decision-making in complex and uncertain contexts Authoritatively manage change and digital transformation Strengthen leadership and internal relational dynamics Promote innovation and security (including cybersecurity) in a sustainable way Download the course programme Schedule being finalised and subject to change: First lesson scheduled for 23 January 2026 - Time Friday 2:00pm-6:00pm | Saturday 9:00am-1:00pm (on alternate weeks) Intermediate level Minimum number of participants: 8 Instructors: Prof. Ennio Bilancini - Economics Prof. Gabriele Costa - Cybersecurity Prof. Sibilla Di Guida - Economics Dr. Letterio Galletta - Computer Science Prof. Nicola Lattanzi - Management and Strategy Prof. Pietro Pietrini - Clinical Biochemistry and Neuroscience Prof. Fabio Pinelli - Computer Science Prof. Emiliano Ricciardi - Cognitive Neuroscience Prof. Mirco Tribastone - Computer ScienceData-Driven Marketing: Strategies for personalised communication
October 1, 2025
The course teaches hoteliers and hospitality operators how to leverage guest data to create targeted, relevant communications throughout the entire customer journey. Participants will learn how to collect, analyse and organise data, use advanced CRM and marketing automation software, and effectively segment audiences. Space is given to the use of artificial intelligence to automate segmentation, generate personalised content, predict behaviour and suggest marketing actions based on predictive models. AI will also be used to optimise multi-channel campaigns and improve engagement performance. The course provides practical tools to personalise the customer experience, analyse marketing KPIs and use data to increase loyalty, satisfaction and long-term value. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme Registrations closed Intermediate level Minimum number of participants: 10Revenue Management 4.0: Advanced technologies for dynamic pricing and predictive analytics
October 1, 2025
The course explores in depth the strategic use of revenue management tools and dynamic rates to optimise pricing policy and maximise revenue. Through a data-driven approach, participants will learn how to apply pricing algorithms, forecasting techniques and big data analysis to make more effective pricing decisions. The training course also includes the analysis of key revenue KPIs, such as ADR (Average Daily Rate), RevPAR (Revenue per Available Room) and Occupancy Rate, to assess performance and improve the overall profitability of the property.The objective of the module is to provide hoteliers with advanced skills to manage prices dynamically, anticipate demand and optimise revenue in real time through the use of digital tools and predictive analytics. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme New edition planned for 2026. Registrations closed Intermediate level Minimum number of participants: 10Technologies for the small hotelier – A compass to find your way
July 24, 2025
This course aims to guide small and medium-sized hoteliers in the conscious and progressive adoption of the most effective technologies to maximise revenue and optimise costs. The module helps to understand what they really need depending on the property's level of digital maturity, and how to effectively integrate different tools and software (RMS, PMS, CRM, Channel Manager) to avoid waste, misalignment and operational inefficiencies. The course guides small hoteliers in choosing and implementing the technologies best suited to their needs, starting with an assessment of the property's level of digitalisation. Through a pyramid approach, the most suitable solutions will be identified based on the degree of digital maturity of the hotel. The course includes practical exercises and case studies to help hoteliers select the best technologies while ensuring effective integration between the different tools. Registration requests submitted by 10/10/2025 will be taken into consideration. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme New edition planned for 2026. Registrations closed Intermediate level Minimum number of participants: 10Innovation Management and Business Modelling – Between Industry 4.0 and 5.0
July 9, 2025
The course is designed to guide entrepreneurs, managers and professionals through a structured programme to develop the ability to innovate consciously and strategically. Through six complementary modules, participants will acquire concrete tools to assess their organisation's innovation potential, outline new strategies, redesign the business model, validate their ideas in the market and build a business case effective business case. The course combines theory, real case analysis and practical exercises, fostering the development of essential skills to operate in business contexts oriented towards innovation and sustainable digital transformation (Industry 4.0 and 5.0). By the end of the course, participants will be able to: Assess the degree of innovation maturity of their own company, identifying strengths and areas for improvement. Define an innovation strategy based on concrete drivers, aligned with business objectives and measurable in its results. Redesign the business model through a business design approach, with a focus on sustainability, value and competitiveness. Validate new value propositions in the market using structured methodologies and continuous feedback cycles. Identify the distinctive factors of competitiveness and develop levers to strengthen the company's position relative to competitors. Draft a concrete operational plan in the form of a business case to support investment decisions in innovation projects. The total duration of the course is 24 hours, divided into 6 days of 4 hours each. Download the course programme Intermediate level Maximum number of participants: 25
