AI in Enterprise Podcast: Episode 6 - Fabio Luzzi (Tapestry)

Published on November 30, 2020

Abstract


As 2020 unfolds, profound changes are occurring in the business world. Our “AI in Enterprise” series is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration.

For November’s ”AI in Enterprise” discussion, HBS Professor and co-author of Competing in the Age of AI, Karim R. Lakhani spoke with Fabio Luzzi (Global Head of Data & Analytics at Tapestry) about the untapped potential of AI and machine learning in demand planning and supply chain operations. An advanced analytics executive and data strategist with over 15 years of experience, Fabio has applied data strategies and built advanced solutions for several Fortune 500 enterprises across various industries: consulting, payment and financial services, entertainment, retail & fashion. 

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Authors

Fabio Luzzi

Fabio Luzzi is an advanced analytics executive and data strategist with over 15 years of experience of designing, building and operating analytical solutions using cutting-edge technology in the field of AI & Machine Learning.

As a thought leader of teams of world class data scientists, business analysts & statisticians, Fabio has applied data strategies and built advanced solutions for several Fortune 500 enterprises across various industries: consulting, payment and financial services, entertainment, retail & fashion.

Fabio is a deep subject matter expert in cloud computing, statistics, advanced analytics, machine learning, consumer marketing, digital, data, advertising technology, media/entertainment, payment, risk management and retail. After pioneering a cross-disciplinary team, he was featured in the 2018 HBS case study Viacom: Democratization of Data Science.

Jenny Hoffman

Jenny Hoffman is an Assistant Director of Research Management at the Laboratory for Innovation Science at Harvard. At LISH, she focuses on the use of open innovation as a tool for industry partners and assists in the development of the AI in Enterprise series.With an extensive background in nonprofit administration, she most recently worked as a coordinator for the Technology and Operations Unit at the Harvard Business School. Jenny is an Army veteran and served on a Provincial Reconstruction Team in southeastern Afghanistan. She holds a B.A. in International Affairs from The George Washington University.

Jin Paik

Jin H. Paik is the Program Director and Senior Researcher at the Laboratory for Innovation Science at Harvard (LISH). In his role, he serves as the lab’s general manager. He works to develop the lab’s strategic vision, as well as to direct project and research activities. He oversees the development of open innovation projects through partnerships with NASA, Harvard Medical School, federal government agencies, academic and research institutions, and industry leaders. He advises organizations on innovation strategies with a focus on starting and scaling open innovation practices. He has worked extensively on programs that focus on data science, development and use of artificial intelligence, technology commercialization, and the future of work. Prior to joining the LISH team, he worked at the Harvard Kennedy School and Mathematica Policy Research. He holds a bachelor’s degree from the University of Michigan and a master’s degree from Harvard University.

Karim Lakhani

Karim R. Lakhani is a Professor of Business Administration at the Harvard Business School and one of the Principal Investigators of the Laboratory for Innovation Science at Harvard (LISH). He specializes in the management of technological innovation in firms and communities. His research is on distributed innovation systems and the movement of innovative activity to the edges of organizations and into communities. He has extensively studied the emergence of open source software communities and their unique innovation and product development strategies. He has also investigated how critical knowledge from outside of the organization can be accessed through innovation contests. Currently, Professor Lakhani is investigating incentives and behavior in contests and the mechanisms behind scientific team formation through field experiments on the Topcoder platform and the Harvard Medical School.

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