You are evaluating where to run a new set of AI workloads, and the decision will affect delivery speed, cost, security posture, and long-term operating flexibility. Some stakeholders want cloud services for faster experimentation and managed infrastructure, while others prefer on-premises deployment for tighter control over sensitive data and predictable capacity.
How would you discuss the trade-offs between using cloud services versus on-premises solutions for AI workloads, and how would you recommend a path forward?