March 14, 2026
Course objectives Strengthen practical skills in the use of AI Discover innovative tools to improve the effectiveness of one's work Tackle real challenges with a practical and unconventional approach Another distinctive feature of this course is that it conveys skills that differ from those of standard courses, providing the tools to address real practical aspects and current challenges. to request activation for your company, contact us Intermediate level Minimum number of participants: 10Blog Archives
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.Computer Vision: strategies and opportunities for the agri-food sector
December 2, 2025
Computer Vision is a discipline of AI concerned with extracting information from visual data (images and video), replicating and enhancing human vision capabilities. The course is structured to explore Computer Vision techniques in depth. In particular, the course will be aimed at the agricultural and agri-food sector, where it plays a highly strategic role, as it is not merely a "useful" technology but a genuine enabling factor for the agriculture of the future, often referred to as Agriculture 4.0 or Smart Agriculture. Participants will have the opportunity to acquire theoretical and practical knowledge through concrete examples, gaining a complete and operational view of this technology.. Objectives of the Computer Vision Course The course aims to provide participants with the skills needed to: understand the fundamentals of Computer Vision; learn the relevant techniques; apply CV in specific contexts; analyse visual data, identify innovation opportunities. Benefits of Attending the Course: Computer Vision is a rapidly growing field and the skills in this area are highly sought after in both the current and future job market, particularly in Agri-Tech; improved professional performance; competitive advantage; innovative problem solving; preparation for the future: being ready to face the challenges of digitalisation and Agriculture 4.0, making the most of the potential of new technologies. The total duration of the course is 24 hours, divided into 6 days of 4 hours each. Next edition planned for 2026 - Schedule being finalised Download the full programme Final schedule to be confirmed Intermediate level Minimum number of participants: 10Data-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: 10Data Security in the Company: Technologies for Cybersecurity
July 14, 2025
The course "Data Security in the Company (Technologies for Cybersecurity)" aims to provide participants with the knowledge and skills needed to effectively protect sensitive information within a business context. The course will provide the technical skills essential to address cybersecurity challenges, and the key professional expertise in protecting one of the most valuable assets of any company: data. Participants will have the opportunity to acquire theoretical and practical knowledge through concrete examples, gaining a complete and operational view of this technology. Course objectives The course aims to provide participants with the skills needed to: Understand the cyber threat landscape; Identify and assess risks; Use cybersecurity technologies; Manage security incidents; Ensure regulatory compliance; Promote a security cultureUnderstand the cyber threat landscape; Identify and assess risks; Use cybersecurity technologies; Manage security incidents; Ensure regulatory compliance; Promote a culture of security Benefits of Attending the Course Strengthened protection of sensitive data; Improved company reputation; Regulatory compliance; Operational resilience; Competitive advantage; Training of internal staff. Download the full programme Intermediate level Minimum number of participants: 10Ne.m.e.sys
July 5, 2024
Ne.m.e.sys is a research company with ATECO code 72.19.09 “Experimental research and development in other natural sciences and engineering,” established as an innovative start-up on 29 December 2015, focused on the frontier of technological innovation along the entire hydrogen value chain, developing technological solutions aimed at overcoming the critical issues that have so far prevented its widespread civil use. Nemesys has already developed numerous patents, ranging from the production of high-efficiency green hydrogen to innovative devices for its use, designed to promote the spread of this clean energy carrier in place of fossil fuels in the sectors defined as “Hard to Abate.” Since the end of December 2021, NEMESYS has become an innovative SME, and has been invested in by the multinational Baker Hughes Group, which acquired around 30% of NEMESYS’s shares through its Italian subsidiary NUOVO PIGNONE HOLDING S.P.A.3logic MK srl
June 10, 2024
3logic MK was founded in Pisa in 2001 as a digital artisans’ workshop. The company’s positioning has been very clear from the very beginning: software projects tailored to measure, with a bespoke approach, often built from scratch through close dialogue with the client to find the best balance between technological advancement and reliability. 3logic was born from Pisa’s university fabric, and its staff has grown up in its internal talent pool with a strong link to the local area: Università di Pisa, Scuola Superiore S. Anna, the CNR Research Area and the Navacchio Technology Park. Internships, traineeships and degree theses have enabled dozens of young talents to join 3logic. Thanks to experience consolidated over time and continuous updating, 3logic interprets the heterogeneous and complex technological needs typical of medium/large organizations, proposing tailor-made software solutions to evolve existing systems or design new workflows. The solutions proposed by 3logic are based on a study of the client’s specific reality, followed by a detailed analysis of specifications and the drafting of an executive project. The next phase is the implementation of a software infrastructure able to interconnect with the systems used by the client, whether they are complex corporate systems or IoT devices. The core of the business lies in system integration and back-end services, which make it possible to provide customized solutions for implementing SOA software infrastructures, interconnected with corporate systems and installed both on premise and in the cloud. These activities are completed by the creation of dashboards and front-end systems built through applications for mobile devices (iOS and Android) or web interfaces with a “mobile first” approach, ensuring full usability on both mobile phones and desktops. The company’s skills also include enabling solutions for Industry 4.0 (Industrial IoT), which include data collection and predictive analysis, intelligent device management, cloud storage and dashboard visualization. Another area of activity is generative artificial intelligence, through which 3logic offers solutions for managing large quantities of documents using generative AI models, both in the cloud and on premises. Finally, 3logic has developed solutions for managing and piloting UxV drones (unmanned aerial, ground and underwater vehicles), also using computer vision algorithms for tracking points of interest (POI).Sigma Ingegneria
February 27, 2024
Sigma Ingegneria was founded in 2004, following an experience of its two founding partners - begun in the late 1990s - in the international high-energy physics project for the mechanical design and construction of the Compact Muon Solenoid (CMS) experiment, the particle detector of the Large Hadron Collider at C.E.R.N. in Geneva. The opportunity to live within an international scientific community, in contact with interdisciplinary personalities and skills, led to the growth of a family-like environment, in which everyone can best express their abilities and stimulate continuous improvement. Since then Sigma has steadily collaborated on projects of high scientific and technological value with scientific research bodies such as the Consiglio Nazionale delle Ricerche (CNR), the Universities of Pisa and Florence, the Scuola IMT Alti Studi di Lucca and the Consorzio Nazionale Interuniversitario di Telecomunicazioni (CNIT), building up its expertise in “innovation” and “industry 4.0.” Research and Development have always been the cornerstones of a close-knit multidisciplinary team, made up of aerospace, robotics and civil engineers, designers, and IT technicians who coordinate the electrical and mechanical production department. Today Sigma Ingegneria’s core business consists of building prototype machines for industry (sustainable and certified) and the subsequent production of small and medium series. Over the years, in addition to building prototypes, the company has diversified its production into two distinct markets, giving rise to three product brands: Drowings®, born in the field of autonomous robotic systems including rotary-wing drones, AGVs and rail surveillance systems; Falmach®, a made-in-Italy machinery production line entirely dedicated to the footwear sector; and Marmoreal®, an integrated ecosystem for generating virtual catalogs of marble blocks, made possible by image acquisition and 3D model processing.SHARE-K S.r.l.
February 27, 2024
Member type: Affiliate Member Share-K promotes Toolssharing: a new economic model, the sharing economy, an innovative, digital and social way of accessing goods (Industry 4.0), which uses technology accessible to everyone for a better and more complete system of use, optimization and management of tools (circular economy), combined with sharing based on precise rules, knowledge of all the implications and characteristics of a good or service, clear communication between the parties involved, cross-checking systems, feedback and payment guarantees.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.
