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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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 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 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.
Roger Magoulas has worked on data analytics projects since the mid-90’s, designing and implementing the data infrastructure and analytics platform for a number of organizations, including Sybase, the SF Opera, Alberta Motor Club, and Columbia Pictures. At O’Reilly Roger built up the data team to support both internal analytics and tracking technology-adoption trends for O’Reilly’s Radar content. He also served as co-chair of O’Reilly’s Strata conference, ran O’Reilly’s Foo Camp (unconferences) program, provided technology research to various companies and government agencies, and took over the Radar function, most recently writing the AI Adoption in the Enterprise 2020 survey report.
Roger currently volunteers for the state of California’s COVID Insights task force, providing guidance to the governor’s office, assists on Public Resource’s Big Box of Science Project, produces webinars for those running data teams (CDx Connection), and advises a few startups.
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