In this Masterclass, participants will explore in a structured and practical way the core principles behind Generative Artificial Intelligence, with the goal of understanding its real-world applications, limitations and potential within business contexts.

The day is designed to develop a solid and pragmatic understanding of how AI really works, moving beyond hype and superficial narratives, and enabling managers and executives to make more informed decisions and drive innovation initiatives with greater awareness.

Through a hands-on and experiential approach, Jacopo Tagliabue, Professor of Machine Learning at New York University and internationally recognized expert in applied AI, will combine conceptual frameworks, real-world cases and practical exercises to equip participants with tools that can be immediately applied in their professional context.

In particular, participants will work on:

• understanding the fundamental principles behind Generative AI (from the shift from deterministic to probabilistic systems to the “Software 2.0” paradigm) and their impact on organizations
• developing the right mental models to correctly interpret opportunities and limitations of AI, avoiding common mistakes in adoption and implementation
• analyzing the “anatomy” of AI systems and agents (prompts, models, tools, performance evaluation) to understand how to design effective solutions
• exploring real-world cases of success and failure in AI adoption, identifying key scalability factors and recurring challenges, and applying these insights through a guided exercise to build an end-to-end AI agent.

An opportunity to develop a practical understanding of AI and strengthen the ability to lead innovation initiatives in an informed way, avoiding superficial or ineffective approaches.

Further details will follow.