What Professionals Should Know About Data Science and AI, According to Harvard Business School Online

You do not need to become a data scientist to benefit from data science and artificial intelligence (AI). However, you should understand what these technologies can do, where they can fail, and how to evaluate their outputs. After working with data science and AI tools for several years, I have noticed that people often begin with the technology rather than the problem. They want to train a model, introduce a chatbot, or build an AI application before deciding what decision they are trying to improve. For most professionals, the goal should not be to master every algorithm. It should be to develop enough data and AI literacy to ask better questions, challenge unreliable results, understand the limitations of these systems, and make informed decisions. This article brings together insights from my interview with Iavor I. Bojinov, Associate Professor of Business Administration at Harvard Business School, and my own experience…