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.
As a strategy and product leader for data-driven businesses, Caroline Sherman consults and advises on how to identify and launch new products and revenue lines, as well as build the teams to deliver them in rapidly changing environments. Drawing on her experience in fintech companies (including Quantopian and InsightSquared), the U.S. Department of Treasury, and Goldman Sachs, she identified what businesses need in order to implement successful data and AI initiatives. In the final AI in Enterprise event of the year, Prof. Karim Lakhani sat down with Caroline Sherman to explore how examining and defining the intent of using AI in your enterprise is critical for both strategic and tactical AI/ML initiatives.
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Caroline Sherman is a strategy and product leader for data-driven businesses. Most recently, Caroline was Chief Product Officer and MD, Strategy at Quantopian, a Boston-based fintech company, backed by Andreesen Horowitz, Bessemer, Kohsla, Point72, others. While there, she led strategy and development for investment and technology products leveraging Quantopian’s 300,000+ researchers globally. Prior to joining Quantopian, Caroline directed Product Management at InsightSquared, where she led product development and served as GM data analytics software.
Previously, Caroline worked in the U.S. Department of the Treasury for the Financial Stability Oversight Council under Sec. Tim Geithner. Prior to joining Treasury, Caroline worked in Goldman Sachs Asset Management’s Quantitative Investment Strategies team. While there, she managed global asset allocation strategies in mutual funds, interfaced with institutional clients on hedge funds and separate account investments, and helped identify and launch new strategies and funds. Caroline holds a B.A. in Mathematics-Economics from Columbia College and an M.B.A. from Harvard Business School.
Currently, Caroline consults and advises data and AI companies on identifying and launching new products and revenue lines, as well as building the teams to deliver them in rapidly changing environments.
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.