AI in Enterprise Podcast: Episode 5 - Roger Magoulas (Data Science Advisor)

Published on October 26, 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.

In the October session of the AI in Enterprise series, HBS Professor and co-author of Competing in the Age of AI, Karim R. Lakhani delved into the most recent survey of AI adoption with author Roger Magoulas (Data Science Advisor). They looked at the common risk factors, techniques, tools, as well as the data governance and data conditioning that large companies are using to build and scale their AI practices.

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Authors

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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