Traditional approaches to managing technical projects, organizing technical teams, and establishing organizational culture can often be at odds with innovating quickly in general and achieving success with machine learning and AI in particular. In this session we discuss how ML/AI leaders can build highly effective ML teams, support them with the right processes and tools, and shift the broader organizational culture in ways that support rapid innovation and adoption of machine learning.
