Governare il business con l’AI: modelli predittivi e machine learning
Apply predictive models to guide business strategy
The course aims to provide an understanding of the basic features of machine learning and business forecasting models, including the types of data that can be used (small data and big data), data preparation for model optimization, and evaluation of predictive models. Participants will learn the basic concepts of the quantitative approach to forecasting, the importance of forecasting in decision making, and performance evaluation metrics. Statistical methods, such as univariate time series-based methods and regression, will be used to make accurate predictions based on time series.
Participants will learn how to use forecasting to support strategic and operational planning. In addition, practical use cases in machine learning will be presented concerning attrition/churn control to identify the probability of customers ceasing to use services or products, Next Best Action models to predict the most effective action for each customer, anomaly detection to identify anomalous data patterns and prevent fraud or failure, and sales data forecasting to apply business forecasting models in different industries. These use cases will illustrate the practical application of the techniques learned in various areas.
Who should apply
You work with data on a daily basis across various business functions and want to deepen your expertise while learning how to leverage Artificial Intelligence and Machine Learning to implement forecasting and predictive analytics models within your organization.
The course is also intended for managers and executive profiles who wish to gain a better understanding of data to more effectively drive the company's strategic vision.
SDA Bocconi Executive Education Certificate
To navigate today’s evolving macroeconomic landscape and organizational change, it is essential to broaden managerial capabilities. Learning plays a central role in this journey.
An initial conversation with our Program Advisors is a required step to design a coherent learning path, clarify objectives and participation options, and to be eligible to earn the Certificate. From there, participants can choose the learning format that best supports their professional development.
Program Advisory
Learning is never a linear journey—it is a path built together, combining specific learning needs with practical tools tailored to individual challenges. Contact our team of Program Advisors, and together we will design the ideal learning path for you or your team, ensuring alignment with your goals.
Your benefits:
A dedicated orientation meeting, either in-person or remotely, to identify learning needs and create a customized plan. Throughout the course, you will experience a tailored welcome to introduce you to the program and foster networking between participants and instructors. Upon completion, your evaluation will become a valuable contribution for continuous improvement of the offering.
How your organization benefits:
Advisory on the program with HR managers to analyze organizational needs and develop personalized projects. Ongoing progress monitoring and a final follow-up to share results and gather feedback, ensuring constant alignment with pre-set goals.
Get in touch with Cristina Popescu
Structure and contents
The program consists of 3 pillars, with a total duration of 24 hours. The training is aimed at maximizing participant engagement through alternating synchronous ("live") and asynchronous (independently usable by participants) sessions.
Introduction to predictive models for business: data preparation, model setup, performance evaluation
Applications of predictive models to business decisions (use cases)
Business Forecasting: predicting business dynamics with time series-based models
Calendar and information
Calendar
- 30 ottobre 2025Online Live16:00 - 18:00
- 06 novembre 2025Online Live16:00 - 18:00
- 13 novembre 2025Online Live16:00 - 18:00
- 20 novembre 2025Online Live16:00 - 18:00
- 27 novembre 2025Online Live16:00 - 18:00
- 06 dicembre 2025Online Live16:00 - 18:00
- 13 dicembre 2025Online Live16:00 - 18:00
- Asynchronous
10 hours
(estimated time) of activities to be completed in the period indicated
Fee
€ 1.500 + VAT
The fee is net of VAT but includes teaching materials and working lunches.
Special payment terms
Bocconi Alumni
Bocconi Alumni are entitled to a 20% reduction on participation fees. To take advantage of the discount, please enter your Alumnus status when registering by indicating “ALUMNI 20” in the notes section. Remember that without this indication, the discount will not be applicable.
Women are good for business
To foster and contribute to women’s professional development, SDA Bocconi School of Management offers them until 8 March 2027 a 20% discount on the participation fee for all Executive Open Programs and Executive Online Programs.
Multiple enrollments
Companies, institutions and public bodies that enroll at least 3 participants in a single program are granted a 20% discount for each registration fee. The concession is not applicable for personal enrollment and must be formalized by the start date of the course.
Corporate education programs
In the case of learning needs involving several resources of the same company enrolled in more than one program, it is possible to define a customized plan from the specific needs of the organization. In this case, our Program Advisors are available to build with the client organizations ad hoc training plans with special pricing.
Partnerships and channel agreements
SDA Bocconi offers the possibility to initiate collaborations that allow them to expand the portfolio of educational trainings to be offered to their members. In this case, the School is available to evaluate partnerships and channel agreements so as to respond in a timely manner to the specific needs of the organization.
By attending at least 80% of the classes, you will receive a certificate of participation in the program and a digital badge to share with your network on LinkedIn.
Program direction
