Bridging the Gap
The conversation emphasizes the importance of human involvement in automated systems, highlighting that businesses ultimately serve people, not machines. Brian discusses the challenge of aligning the excitement of data scientists with the actual needs and desires of customers. This gap can hinder the adoption of innovative models, making it crucial to ensure that data-driven solutions resonate with users.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
658: How to Build Data and ML Products Users Love — with Brian T. O'Neill
Related Questions