AI and Data Science: Strategy and Entrepreneurship

2 credits · GSB

How can one best put AI and Data Science to work in a modern company and manage data science teams effectively? Leaning on the emerging theory and best practices, we will examine companies at various sizes and stages, from seed through IPO, and study real-life cases to understand how companies should leverage AI, data science and machine learning to build effective teams, core competencies, and competitive advantages. We will draw similarities and contrasts between regular technology and data-science-heavy companies in terms of management, technical risks, economics, and more. The students will learn how to reason about the costs and benefits of building up a data science capability within a company, how to best manage teams to maximize performance and innovation, as well as how to evaluate value creation through data and AI from the perspective of investors. We will have several AI entrepreneurs, executives, and investors participating in discussions.