- Start date
- Duration
- Format
- Language
- 31 Gen 2025
- 40 hours
- Online
- Italian
Fornire gli strumenti per (ri)disegnare la roadmap di adozione e sviluppo dell’AI in azienda bilanciando strategia, elementi tecnologici, organizzativi e di contesto.
Lorenzo Diaferia is a Lecturer of Digital Transformation at SDA Bocconi School of Management, where he is also researcher at the Digital Enterprise Value and Organization (DEVO) Lab.
Lorenzo is director of the online course “Artificial Intelligence in action” at SDA Bocconi and he took part in MISA, EMBA, MDE and custom programs as instructor on the business implications of Artificial Intelligence (AI).
His research activities focus on digital transformation, its enabling technologies, data exploitation, and the business implications of AI. Lorenzo coordinates the DEVO Lab research stream on enterprise AI adoption. He is working with the Massachusetts Institute of Technology (MIT) on a periodic research initiative to identify and assess high impact digital technologies. At SDA Bocconi, he also collaborates with the LIFT Lab, a laboratory that operates at the convergence between digital and life science topics. Lorenzo worked at several custom research projects for companies and institutions. Among these, Accenture, CRIF, Edenred, Google Italy, NTT DATA, Teradata.
He is author and coauthor of articles and books on digital transformation, AI, and platform economy. Among others, his contributions have been published in Springer International Publishing, Economia & Management and Bancaria Editrice. He is also coauthor of several reports for companies and institutions.
Lorenzo holds a Master of Science degree cum laude in Management and a Bachelor’s degree in Economics both from Bocconi University. He was also an exchange student at Dartmouth College (US).
Fornire gli strumenti per (ri)disegnare la roadmap di adozione e sviluppo dell’AI in azienda bilanciando strategia, elementi tecnologici, organizzativi e di contesto.
Fornire gli strumenti per (ri)disegnare la roadmap di adozione e sviluppo dell’AI in azienda bilanciando strategia, elementi tecnologici, organizzativi e di contesto.