AI in Enterprise Podcast: Episode 10 - Allie Miller (AWS)

Published on April 12, 2021

Abstract


Our “AI in Enterprise” series addresses the unique 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.

Whether you build your own ML models or grab an off-the-shelf AI solution from a startup, your team can integrate machine learning into your business today. In the March session of AI in Enterprise, Allie K. Miller discussed five common strategies that enterprise decision-makers take, along with the decision tree of internal team resources, external team resources, skillsets, budgets, and delivery time.

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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.

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