What Do Investors Want to See

Lecturer: Nicolas Servel

Lecturer：Nicolas Servel has 20 years of professional experience of which around half for major Consulting Firms (such as KPMG Strategy. L.E.K. Consulting and Partners in Performance), 5 years as a Freelance consultant, and 5 years in Corporate Strategy functions for high growth technology companies listed on the stock market or belonging to major Private Equity firms. Nicolas was born and raised in Africa. While studying his M.B.A (University of Cambridge, UK), Nicolas confounded the Cambridge University Technology and Enterprise Club to nurture and enhance the entrepreneurial spirit amongst academics and students at Cambridge University.

Business Model Experimentation: From Hypothetical Plan A to Successful Plan B

Lecturer: Philippe Chereau

Lecturer：Philippe Chereau holds a Doctorate in Management Science from Aix-Marseille University, a PhD in Management Science from SKEMA Business School and a Master in Management from EDHEC Business School. He is in the strategy and entrepreneurship area and heads the SKEMA Ventures initiative. He specialized in the strategic management of innovation and business modelling in SMEs and in the governance of Local Innovation Systems.

The true meaning of marketing in the digital era
Lecturer: Giuliano Noci

 Lecturer: Giuliano Noci is the Vice Rector for China at Politecnico di Milano and Full Professor at Politecnico di Milano, Department of Economics, Management and Industrial Engineering. On behalf of Italian Ministry of Transportation and Infrastructure he is in charge of developing Sino Italian business opportunities on the field of transportation across the Silk Road.

He is an expert in business strategies and marketing. Over the last 15 years, his studies have been devoted to the analysis of the impact of ICTs on marketing and branding strategies in a global world. He paid a specific attention to the following topics: design and management of valuable experiences for the end-market and Marketing 2.0. He chairs Research Labs aimed at investigating changes taking place in the relationship between a company and its market and public institutions and their target audience. Accordingly, he is the scientific director of the following research Labs: Multichannel Marketing, Internet Media, Omnichannel Customer Experience and e-Government and Political Web Reputation.

He is the author of several books and articles, published in international scientific journals, some of which have been awarded as the best essays of the year.

He is commentator of TG1 (RAI), TG2 (RAI), RaiNews24 (RAI), SkyTg24, Bloomberg TV, France Press, Corriere della Sera, Il Sole 24 Ore, Radio24 and Class CNBC.

Digital Transformation: big opportunity or big threat
Lecturer: Alessandro Perego

Lecturer: Alessandro Perego is a Professor of Logistics Management, he has more than 20 years of experience in the analysis and assessment of digital technologies. He is one of the founders and the current Scientific Director of the Digital Innovation Observatories of POLIMI leading a group of about 100 researchers. Currently, Alessandro Perego is also the Head of the DIG Department and member of POLIMI Senate. Founder and Board Member of “Banco Alimentare” Foundation. Member of the Board of Directors of MIP Graduate Business School. Scientific Director of the loT (Internet of Things) Lab.

His primary research fields are ICT for logistics, operations and supply chain management, Design and management of logistics systems / supply chain of goods and services, Modeling processes and production / logistics systems, analysis and assessment of digital technologies, including - but not limited to - Artificial Intelligence, Internet of Things, Big Data Analytics and Blockchain, Food Supply Chain Management with focus on Surplus Food Reduction and Redistribution.

Quality Engineering for Industrial Big Data
Lecturer：Kai Wang

Lecturer: Kai Wang is currently an Assistant Professor with the Department of Industrial Engineering, School of Management, Xi'an Jiaotong University, Xi'an, Shaanxi, China. He received his Ph.D. degree in Industrial Engineering and Logistics Management from Hong Kong University of Science and Technology, Hong Kong, in 2018, and enrolled in Hong Kong Technology Talent Scheme--Postdoctoral Hub in 2019. His research focuses on statistical process control, industrial big data analytics, statistical machine learning and transfer learning. His works have been published in IISE Transactions, IEEE Transactions on Automation Science and Engineering, Computers & Industrial Engineering, Quality and Reliability Engineering International.