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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Allie K. Miller has worked in three of the most critical areas of AI—conversational, computer vision, and data. She is the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS). Allie was named as AIconic’s 2019 “AI Innovator of the Year”, LinkedIn Top Voice for Technology and AI 2019 and 2020, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, ReadWrite’s Top 20 AI Speakers in the World, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Prior to joining Amazon, Allie was Lead Product Manager at IBM Watson where she led a team of 30 engineers to build IBM’s first-ever trained multi-modal AI system and built core artificial intelligence vision technology for start-ups to Fortune 50 clients for use cases as diverse as photo analysis, inspections, insurance, fraud detection, and media tracking.
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.