Course Overview
A comprehensive exploration of AI and data transformation in the Food & Beverage industry, combining strategic insights with practical applications.
About the Course
The AI & Data Transformation in Food & Beverage course represents a paradigm shift in business education. Moving beyond theoretical frameworks, this course equips students with the strategic and technical capabilities to lead digital transformation initiatives in one of the world's most traditional and essential industries.
The Food & Beverage sector faces unprecedented challenges: supply chain volatility, changing consumer preferences, sustainability imperatives, and technological disruption. This course positions AI and data analytics not as abstract concepts but as concrete tools for navigating these complexities.
What Makes This Course Different
Industry-Focused
Concepts are grounded in Food & Beverage applications, connecting theory to industry practice.
Hands-On Learning
Practical exercises, simulations, and interactive activities to apply concepts in context.
Strategic & Technical Balance
Combining business strategy (when and why to use AI) with practical implementation approaches.
Ethics & Governance
Exploring algorithmic bias, privacy considerations, and responsible AI deployment.
About Professor Riccardo Bovetti
Professor Riccardo Bovetti is a Partner at EY based in Milan. He has been in the consulting business since 1997, starting in the ICT field before transitioning to managerial consulting. His professional focus lies primarily in Consumer Products & Retail, with additional experience in Diversified Industrial Products.
He holds a degree in Information Science and has been a university adjunct professor since 2003, teaching at Università di Torino, CUOA Business School, SAA, Università Cattolica di Milano, ESCP Business School (Turin & Berlin campuses), and ESA Beirut. His unique combination of deep industry consulting and academic experience allows him to bridge the gap between theoretical frameworks and practical business transformation.
Teaching Philosophy
“Technology alone changes nothing. Organizations that succeed with AI don't just adopt tools—they reimagine workflows, challenge assumptions, and build data-driven cultures. My goal is to equip you with both the technical skills and the strategic mindset to lead that transformation.”
This course reflects that philosophy: expect rigorous analysis, hands-on simulations, interactive activities, and a relentless focus on applicability. The course combines traditional lectures with a Harvard Business School simulation and group exercises to ensure learning is both deep and practical.
Course Structure
Lectures
Five sessions combining lectures, a hands-on simulation, and interactive group activities covering enabling technologies, the info-economy, analytics strategy, machine learning, and the human dimension of data.
View All LecturesAssessments
Assessment is based on individual in-class participation, group activities (simulation and case study), and an individual written examination.
View Syllabus & ScheduleResources
Access lecture PDFs, recommended readings, AI-powered learning tools, and a comprehensive glossary of AI and data analytics terminology.
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