Artificial Intelligence for Business

The course will provide an introductory overview of the various existing AI techniques, putting them into an historical context
which is essential to understand how we arrived to the recent sensational exploit of AI applications and what can we expect from the near future. We will discuss industrial applications with their opportunities and challenges, touching also on some social, economic and ethic implications which will be deepened in other courses. A specific focus will be on the interaction between AI and robotics, given the relevance of artificial intelligence applications for manufacturing and industrial automation.

Getting value from data requires the design of a composite chain that begins from a strategic vision to the implementation, exploitation and continuous operation management. This course offers a preliminary and systemic vision to the use of the latest methodologies and techniques for extracting useful knowledge that will be explored in other courses of the Master.

This course aims to provide participants with a comprehensive understanding of machine learning methodologies and their applicability in various business sectors. Consisting of three intensive lectures, the course covers fundamental machine learning principles, advanced learning paradigms, different data representations, and essential business analytics tools. The course also includes real-world case studies to ensure practical applicability.

Computer Vision is at the heart of the AI revolution. Machines nowadays can not only see better than ever but also generate realistic visual content spanning images, videos and 3D assets. We will walk through ideas and applications, shedding light on how computer vision may be deployed in controlled environments, e.g. in manufacturing,  “in the wild”, e.g. in assisted/autonomous driving,  as well as to generate cool stuff for applications largely yet to come.

This executive-level course is designed to equip senior decision-makers, executives, and leaders with a comprehensive understanding of large language models. Participants will explore the fundamentals of large language models, with a focus on GPT models, gain insights into their applications and key implementations, and examine emerging trends and future developments in artificial intelligence.

This course provides fundamental knowledge of the key concepts and principles of computer security. It covers methodological, technological, and behavioral aspects (including operational security), while also addressing the most relevant components of modern IT infrastructures, spanning both computing and communication.

The course will introduce participants to the value of using immersive paradigms in data analytics. It will walk through the principles underlying the design of immersive analytics systems, exhibiting how such type of systems may facilitate collaboration and change the process of data analysis.

The course addresses the main ethical and regulatory issues related to AI, including the European AI Act, moral dilemmas (e.g., autonomous driving), and the political implications of AI systems. Participants will develop the ability to assess the ethical impact of technologies, critically distinguish myths and misleading narratives, and promote the responsible adoption of AI in line with fundamental rights.

This course is designed to equip participants with the essential skills and knowledge required for managing artificial intelligence (AI) within the context of business innovation. It aims to systematically guide learners in understanding, embracing, and capitalizing on the transformative potential of AI to redefine business futures. The first part of the course focuses on AI and different aspects of business innovation, such as products, services, processes, organizational structures, and business models, and the exploration (sensing, seizing and implementing) of business opportunities related to AI. The second part, explores the role of AI in enhancing various stages of the Business Innovation pipeline, providing practical insights into leveraging AI for business evolution.

The course provides a strategic understanding of how to leverage AI to enhance business decision-making, focusing on practical applications and value creation without requiring programming skills. Participants learn to identify and prioritize high-impact AI opportunities, manage the AI product lifecycle, and address ethical implications. The course also prepares participants to manage strategic partnerships for the effective and responsible adoption of AI within business processes.

Implementation of AI projects is a challenge that passes through people, this needs conscious leaders, able to facilitate the work of heterogeneous teams and get the most out of people both in terms of problem finding and change making. We will use the discipline of emotional intelligence to embed the neuroscience of change and build on this scientific approach to arrive to an action model.

The course aims to provide the right tools and competences needed to become a change maker in organizations in particular how to increase the awareness of the impact of leadership, support the management of the ordinary resistance to create new patterns of action, communicate and collaborate in teams to obtain extra-ordinary results.

This course is designed to review the changes in the world of work, focusing on how digitalization, big data and the spread of Artificial intelligence are leading to a profound transformation of organizational, human resources and competencies systems and processes.

Basic knowledge will be provided to conduct the analysis and definition of process and organizational model design and successful implementation in alignment  with business strategy. Costs and benefits will be assessed, return on investment analyzed, as well as the impact of introducing AI solutions for human resource management in terms of organizational innovation, corporate culture and compliance

The course introduces the main business performance indicators, integrating concepts from financial and managerial accounting with quantitative tools and artificial intelligence techniques. Participants learn how to measure, interpret, and analyze financial results, identify the most relevant KPIs, and support the decision-making process through data-driven approaches.

The course prepares students to manage end-to-end AI projects, from conception to implementation and business value generation. Students learn how to address the risks and critical issues of AI implementation in companies, developing technical and application skills through real-world applications such as NLP, computer vision, and predictive analytics. A practical approach is fostered to effectively integrate AI solutions into business processes and identify innovation opportunities.

This course is designed to empower participants with a profound grasp of digital transformation strategies and their relevance across diverse business domains. Over the span of three dynamic sessions, you’ll delve into fundamental principles of digital transformation, explore advanced strategies, examine varied data representations, and master essential tools for business analytics. Real-world case studies will be integrated, ensuring you can apply your knowledge effectively in practical scenarios.

This course is designed to provide a comprehensive understanding of the transformative power and ethical considerations of AI in modern business practices. Participants will explore the evolution of AI, delve into current trends and technologies, and understand the implications for future business models. With a focus on both theoretical knowledge and practical application, this program covers the ethical dimensions of AI, the regulatory landscape, and strategies for integrating AI responsibly into business operations.

The project work is developed in groups and on real cases (Companies from the BBS Business Network or companies proposed by participants). It is a comprehensive endeavor involving two distinct phases. In the first part, we focus on analyzing a specific business challenge and identifying AI-based solutions. The second part is dedicated to the practical development and implementation of an AI prototype to address the identified challenge. Throughout the project, we aim to provide valuable insights, actionable strategies, and a functioning AI solution to enhance business operations.