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AI – Artificial Intelligence for Businesses

March 16, 2026

This intensive 24-hour course, divided into 6 days, is designed for entrepreneurs and professionals who want to integrate Artificial Intelligence into their businesses. The programme covers the fundamentals of AI and Generative AI (including LLMs such as ChatGPT, Google Gemini and Anthropic Claude), risk, compliance and ethics issues (GDPR, AI Act, intellectual property), and advanced Prompt Engineering techniques for text management and querying company data. The course also explores the application of Generative AI for graphics and presentations (Leonardo AI, DALL-E, Gamma, Napkin AI), business process optimisation, AI-assisted coding, and the use of autonomous AI agents to automate complex tasks. It will also cover the use of AI to improve customer management, customer support through intelligent chatbots, and the organisation of corporate knowledge. An analysis of generative AI for data analysis and management reporting will also be included.   to request activation for your company, contact us Basic Level Minimum number of participants: 15  

Industry 4.0: digitalising the company to create value

March 12, 2026

This in-person course will enable the Company to learn about the opportunities arising from implementing modern digital techniques, integrated with the key principles of Continuous Improvement. This tailor-made course is enriched with applied examples that highlight the opportunities offered by Industry 4.0 across different business areas.

Data-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: 10

Revenue 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: 10

Technologies 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: 10

SPIN-PET S.r.l.

February 27, 2024

Member type: Affiliate Member Spin-PET was founded as a spin-off of the University of Pisa and has now been an innovative SME for 10 years. . Spin-PET develops innovative and sustainable solutions in the field of polymeric materials, including from recycling. Spin-PET has consolidated know-how in the formulation and blending of polymeric materials of different natures and in giving these materials specific final properties. Spin-PET is also active in researching materials for the energy and catalysis sector (polymeric membranes for hydrogen production and unconventional catalysts). Spin-PET has many years of experience in preparing composites, including nanocomposites, with customized structural and surface properties, including for 3D printing applications for producing high-performance components. Spin-PET integrates purely theoretical consulting services with a complete laboratory for the preparation and characterization of materials, both at lab-scale level (from a few grams to hundreds of grams) and at pilot-scale level (a few kg), up to small industrial production runs (100 kg). Spin-PET offers its experience, problem-solving ability and inventiveness, generating original IP, to companies that need support and innovation.

New Generation Sensors S.r.l.

February 27, 2024

Member type: Affiliate Member New Generation Sensors is an innovative start-up, a spin-off of the Scuola Superiore Sant’Anna and CNIT Pisa, founded in 2015. Its team has varied expertise that allows it to cover the development and production of all the components needed to build the most innovative monitoring systems based on IoT technology. It has developed hardware and software platforms for implementing IoT sensor nodes (based on 6LoWPAN and LoRaWAN wireless technology), gateways and Cloud applications. Its systems (predictive maintenance sensors, gateway and Cloud platform) are currently installed at the ENEL power plant in Brindisi.

ELETTROMAR S.p.A.

February 27, 2024

Member type: Affiliate Member Founded in 1981, Elettromar offers turnkey solutions for optimizing clients’ production processes, through the creation of integrated process and product industrial automation systems. Its many years of experience in plant engineering and its deep knowledge of the main automation techniques make Elettromar a reliably trustworthy system integrator.

Dedalus Italia S.p.A.

February 27, 2024

Member type: Ordinary Member Dedalus Spa is a leading international industrial group in clinical healthcare software and holds important positions in all market segments of public and private healthcare. Recently, the prestigious international ranking firm KLAS placed Dedalus and Medasys third in the ranking for new clinical projects worldwide. With more than 1,500 hospital clients worldwide in 30 countries, hundreds of Health Authorities and more than 23,000 general practitioners, Dedalus represents the highest level of experience and functional completeness in the sector of systems supporting clinical healthcare processes.

eHealthNet S.c. a r.l.

February 27, 2024

Member type: Affiliate Member eHealthNet is a non-profit body whose purpose is to undertake suitable initiatives to build an integrated network of research, experimentation, training and dissemination, delivering innovative output related to goods and services in the public and private health sector, encouraging the launch of start-ups and spin-offs.

Aitronik S.r.l.

February 27, 2024

Member type: Affiliate Member AITRONIK S.r.l. is an innovative Italian start-up that supports companies in the development and integration of Artificial Intelligence systems for mechatronic applications and autonomous vehicles. Over the years, the company has increasingly specialized in Machine Learning, in developing code on super-computing platforms for AI and Real Time Embedded Systems, and in integration on Autonomous Robots and Mechatronic Systems. It has developed and integrated Artificial Intelligence systems for autonomous aerial, ground and marine vehicles, human-machine interfaces and interactive human-robot systems.

AIM S.r.l.

February 27, 2024

Member type: Affiliate Member AIM S.r.l. is a software system integrator with integration expertise in mission-critical applications where high business continuity standards are required, both in hardware infrastructure and in the delivery of IT services, supporting its clients in the transformation and adaptation of business processes.

Università di Siena (UNISI)

February 27, 2024

Member type: Founding Member The University of Siena participates in the ARTES 4.0 High Specialization Competence Center. In its role as a “Macro-node” of ARTES 4.0, its strategic area is Life Sciences, with the following objectives and thematic areas: - automation of production processes, Big Data management, Robotics, Artificial Intelligence for applications in Personalized and Precision Medicine and sustainable development of Biotech-pharma, agrifood, bioeconomy and bio-based industry. - Technologies and applications based on Artificial Intelligence for the processing, integration and analysis of data from the healthcare and pharmaceutical fields, such as to provide forecasts or recommendations for diagnosis, therapy, health status, lifestyle and nutrition, defining new healthcare models and improving therapeutic outcomes, with a view to sustainable growth of the healthcare service. - Development of innovative immersive teaching-training systems using Virtual and Augmented Reality in the Biotech-pharma, agrifood, bio-based, bioeconomy, healthcare and, more generally, healthcare sectors. Departments of Excellence funded by MIUR: Department of Biotechnology, Chemistry and Pharmacy – DBCF

Università degli studi di Firenze (UNIFI)

February 27, 2024

Member type: Founding Member The University of Florence participates in the ARTES 4.0 High Specialization Competence Center. In its role as a “Macro-node” of ARTES 4.0, it is engaged in the following scientific and technological thematic areas: •Advanced, robotized and connected production systems, supply chain, embedded systems, IoT, telecommunications networks; • Advanced solutions for: data science, big data, machine learning and data analytics, business intelligence (data warehouse & data mining); • Nanotechnology and innovative nanostructured materials, composite materials, formulations, industrial chemistry, applied chemistry; • Digital management and marketing innovations, risk control and market expansion, development of SME internationalization techniques; • Statistical methods for product and process control; • Computer experiments and simulations for product quality and reliability. Departments of Excellence funded by MIUR: Department of Chemistry “Ugo Schiff” Department of Statistics, Computer Science, Applications “G. Parenti” Department of Economics and Management

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