Strategies and Practical Tools
Artificial Intelligence is now a concrete reality that is transforming the way companies operate, make decisions and compete in the global marketplace. This course is designed for business leaders, managers and professionals who wish to be at the forefront of this rapidly evolving landscape.
The course Artificial Intelligence and Generative AI: Strategies and Practical Tools, is designed to provide an in-depth and practical understanding of how AI in general, and generative AI in particular, can be integrated into business processes to improve productivity, accelerate innovation and create value. From data-driven marketing campaign design to large-scale personalised content creation and process optimisation, generative AI offers powerful tools to address modern challenges with innovative solutions.
Generative AI, in particular, represents a leap forward in technological innovation. Advanced artificial intelligence models, such as Large Language Models (LLM), are revolutionising the way companies create content, interact with customers and make strategic decisions. The capabilities to generate text, images, code and even business strategies are opening up new frontiers in terms of efficiency and creativity.
In an increasingly complex and competitive business environment, understanding and applying AI is not only an advantage, but a necessity to stay ahead of the curve. Those who attend this course will understand the basics of Artificial Intelligence and Machine Learning and be able to develop strategies for their business, learn how to identify opportunities, assess return on investment (ROI) and align AI with business objectives to maximise value. Use Generative AI tools to explore the use of Large language models (LLM) and business tools to enhance productivity, improve decision-making and stimulate innovation.
The course is aimed at business leaders and managers who want to integrate AI into their business strategies to optimise processes and stimulate innovation, as well as professionals who want to deepen their technical and practical skills in AI and Machine Learning; Innovators and entrepreneurs interested in leveraging AI to stimulate growth and innovation within their companies.
The program is divided into 2 modules, for a total of 6 didactic sessions to be attended in a weekend formula (Friday and Saturday). It is possible to register for the entire course or for modules individually.
Accreditation
Bologna Business School is EQUIS – EFMD Quality Improvement System accredited, one of the most important international quality assessment and continuous improvement systems for Schools of Management and Business Administration.
Maurizio Gabbrielli
Director of Education
maurizio.gabbrielli@unibo.it
" Artificial intelligence is changing our lives, our society and our way of doing business. Being aware of these changes, mastering the techniques that cause them and understanding their scope in the short and medium term will be essential to the survival of many companies. This course offers "survival tools" that in many cases can also become development and growth tools. "
Cristiano Boscato
Executive Director
cristiano.boscato@bbs.unibo.it
" Those who’ll be able to master machine learning will have a competitive advantage for their future career. What you’ll get at the end of the program isn’t simply being knowledgeable about a technology, as disruptive as it may be, but the ability to use it to foster real business topics: a value that no company nowadays can afford to ignore. "
Structure
The course lasts three months and consists of 6 days in a weekend format (Fridays and Saturdays) from 9:15 am to 5:45 pm.
2 thematic modules will be covered in depth, structured as follows:
I MODULE – General AI
- Introduction to AI and Machine Learning
- AI Strategies in the Enterprise
- AI Ethics and Compliance & Use Cases
Session dates are:
- 27-28 September 2024
- 18-19 October 2024
II MODULE – Generative AI
- Introduction to LLM, Tools, Prompt Engineering, Problems
- Advanced Use of Commercial Tools, Practical Lab, Copilot, Presentation Design
Session dates are:
- 15-16 November 2024
In addition to the theoretical-practical modules, the course also includes a final workshop in which students will have the opportunity to apply the knowledge acquired on a business case of their own company or staff. During the workshop, students will work in teams and collaborate with the other participants of the course to develop customized Artificial Intelligence solutions to address the proposed business case. In this way, students will have the opportunity to apply the skills acquired in the course in a practical way and to consolidate their understanding of Artificial Intelligence techniques for business. At the end of the workshop, the teams will present their solutions and receive feedback from course lecturers and other participants.
COURSES
- What is Artificial Intelligence (AI)
- Introduction to Machine Learning (ML)
- Fundamentals of ML
- Process of developing an ML model
- AI in the corporate context
- Developing an AI strategy
- Implementing an AI strategy
- Challenges and obstacles
- Measuring success
- Ethics and Compliance in AI
- Use Cases
- Introduction to Large Language Models (LLM)
- Prompt Engineering
- Common Problems and Solutions
- Advanced use of commercial tools
- Practical workshop
- AI presentation design
Learning approach
Our courses are characterized by a Faculty of academics and consultants. The teaching methodology is supported by an e-learning platform in which materials and exercises will be loaded for study and in-depth study between the two classroom sessions.
Faculty
Faculty members at Bologna Business School work together offering outstanding teaching standards. An international and interdisciplinary approach is guaranteed by a joint team of distinguished national core professors, adjunct, visiting professors, guest speakers and top managers.
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Luigi Di Stefano
Full Professor of Information Processing Systems
University of Bologna
-
Claudio Sartori
Full Professor of Machine Learning and Informatics
University of Bologna
-
Fabio Tamburini
Associated Professor
Università di Bologna
-
Cristiano Boscato
CEO
Dinova
Alumni
Manuel Gulmanelli
Direttore @ Cedab
Artificial Intelligence & Machine Learning for Business, anno 2019, I edizione
"Oggi sentiamo parlare in continuazione di Intelligenza Artificiale e Machine Learning ma, molto probabilmente, non abbiamo la piena coscienza di quanto profondamente queste tecnologie stiano cambiando i modelli di business nelle aziende. Questo corso mette sotto gli occhi dei manager le potenzialità dirompenti di queste tecnologie e aiuta a costruire le competenze per valutare se, all’interno delle aziende, ci sono ambiti di applicazione adeguati. L’analisi approfondita dei processi aziendali e delle persone che li svolgono è fondamentale per arrivare a risultati concreti e non perdersi in inutili voli pindarici.Il corso alterna lezioni teoriche che aiutano la comprensione del funzionamento delle tecniche di AI e ML a momenti pratici in cui, i professionisti spiegano le tecniche che si adottano in casi e progetti reali dando visione pratica degli importanti risultati che si ottengono. Si lavora duramente per comprendere e applicare, per ascoltare lezioni di accademici di primo piano e per “sporcarsi le mani” in project work di classe che arricchiscono professionalmente in maniera incredibile."
Networking
Networking takes place between students in the same class, between participants and lecturers, and with students from other courses or previous editions of the same program.
Alumni
Manuel Gulmanelli
Direttore @ Cedab
Artificial Intelligence & Machine Learning for Business, anno 2019, I edizione
"Oggi sentiamo parlare in continuazione di Intelligenza Artificiale e Machine Learning ma, molto probabilmente, non abbiamo la piena coscienza di quanto profondamente queste tecnologie stiano cambiando i modelli di business nelle aziende. Questo corso mette sotto gli occhi dei manager le potenzialità dirompenti di queste tecnologie e aiuta a costruire le competenze per valutare se, all’interno delle aziende, ci sono ambiti di applicazione adeguati. L’analisi approfondita dei processi aziendali e delle persone che li svolgono è fondamentale per arrivare a risultati concreti e non perdersi in inutili voli pindarici.Il corso alterna lezioni teoriche che aiutano la comprensione del funzionamento delle tecniche di AI e ML a momenti pratici in cui, i professionisti spiegano le tecniche che si adottano in casi e progetti reali dando visione pratica degli importanti risultati che si ottengono. Si lavora duramente per comprendere e applicare, per ascoltare lezioni di accademici di primo piano e per “sporcarsi le mani” in project work di classe che arricchiscono professionalmente in maniera incredibile."
COMPANIES
Over the years, our partners have been constantly involved in the various activities that make up the structure of our programs. Companies belonging to our network participate in project work and master classes; they actively contribute to introducing guest speakers and organizing company visits. Our partners are our first supporters: they sponsor various scholarships, host internships for students and provide professional opportunities for graduates. The partner companies of Bologna Business School are:
AEROPORTO G. MARCONI ASSICOOP BOLOGNA METROPOLITANA AUTOMOBILI LAMBORGHINI BOLOGNA FIERE BREVINI POWER TRANSMISSION CAMERA DI COMMERCIO DI BOLOGNA CAMERA DI COMMERCIO DI FERRARA CAMERA DI COMMERCIO DI FORLÌ-CESENA CAMERA DI COMMERCIO DI MODENA CAMERA DI COMMERCIO DI RIMINI CAMST CARPIGIANI GROUP CASSA DI RISPARMIO IN BOLOGNA CONFCOMMERCIO EMILIA ROMAGNA CONFINDUSTRIA EMILIA ROMAGNA COSWELL DATALOGIC DUCATI MOTOR HOLDING ENEL ENGINEERING INGEGNERIA INFORMATICA EXPERT SYSTEM FALORNI FASTWEB FERRARELLE FERRARI FERRETTI GROUP FINALMA FONDAZIONE CARISBO FONDAZIONE CASSA RISPARMIO CESENA FONDAZIONE CASSA RISPARMIO DI CENTO FONDAZIONE CASSA RISPARMIO DI IMOLA FONDAZIONE CASSA DI RISPARMIO DI CARPI FONDAZIONE CASSA DI RISPARMIO DI FERRARA FONDAZIONE CASSA DI RISPARMIO DI PADOVA E ROVIGO FONDAZIONE G. MARCONI FONDAZIONE IBM ITALIA FONDAZIONE ISABELLA SERÀGNOLI FONDAZIONE DEL MONTE DI BOLOGNA E RAVENNA FONDAZIONE PER LA COLLABORAZIONE TRA I POPOLI FOOD TREND FOUNDATION FURLA GOOGLE ITALIA GRANAROLO GROUPM GRUPPO COESIA GRUPPO SISTEMA H-ART HSPI HAWORTH HERA HORSA IBM ITALIA IMA ICONSULTING INTESA SAN PAOLO KPMG ADVISORY LABORATORI GUGLIELMO MARCONI LANDI RENZO LEGACOOP BOLOGNA LIGHTHOUSE MANUTENCOOP MAPE MAPS MASAI ITALIA MASERATI MICROSOFT ITALIA MONTENEGRO N.C.H. NUOVI CANTIERI APUANIA OLIDATA ONIT GROUP OPERA SANTA MARIA DEL FIORE PHILIP MORRIS ITALIA POLTRONESOFÀ REGIONE EMILIA-ROMAGNA RICOH S.E.C.I. GRUPPO INDUSTRIALE MACCAFERRI SAP SCS CONSULTING STMICROELECTRONICS SCHNEIDER ELECTRIC SEPS TECHNOGYM TEUCO THE BOSTON CONSULTING GROUP TOYOTA MATERIAL HANDLING ITALIA TREVI GROUP UMBERTO CESARI UNICREDIT UNIEURO UNINDUSTRIA BOLOGNA UNIPOL VEM SISTEMI VERONESI VIABIZZUNO VIDEOWORKS VOLVO CAR ITALIA WPP ITALIA YOOX NET-A-PORTER GROUP
FEES
The registration fee for the individual module is:
- 1,900 euros (+ vat) for registrations from companies and institutions
- 1,500 euros (+ vat) for registrations from individuals
The registration fee for the entire program is:
- 3,400 euros (+ vat) for registrations from companies and institutions
- 2,700 euros (+ vat) for registrations from individuals
The fee includes attendance at the program, all study material available through the online platform and access to Bologna Business School services, which include: Alma personal wi-fi account and use of study areas.
A large free car park is available in the school park.
Discounts are available:
– for early registrations;
– for Business Network companies;
– for Alma and Profingest Alumni;
– for groups of at least 3 people.
INTERPROFESSIONAL FUNDS
Alumni and companies can check the availability of vouchers at the Interprofessional Fund of reference:
Fondimpresa – for middle managers / middle management
Fondo Dirigenti PMI – for managers of industrial SMEs
Fonditalia
Fondirigenti – for managers
Fon.Coop – for cooperative companies
REQUIREMENTS
The course is reserved for a maximum of 20 participants.
APPLICATION PROCESS
To register, simply download the registration form and send it by email.
