AI and Machine Learning Adoption Questions

Focuses on enterprise machine learning capabilities and adoption patterns. Topics include how to identify high value machine learning use cases, data readiness and feature engineering needs, model experimentation and training approaches, deployment and model operations practices, platform choices such as Vertex AI or equivalent services, governance and explainability, measurement of model performance in production, and organizational change required for successful adoption. Candidates should be able to describe common barriers to enterprise machine learning adoption and pragmatic steps to move from pilot to production while demonstrating measurable business value.