In this podcast, the MLOps vs. LLMOps Panel discuss the high-level differences between MLOps and LLMOps, the impact of ML ops on companies, the challenges of open source tools and data safety in financial firms, the cost and rationalization of MLOps, options for large enterprises in ML model development, and the use of foundational models and vector databases.