MLOps Insights
The discussion highlights the importance of understanding your team's capabilities and the role of managed services in the early stages of machine learning projects. Data engineers emerge as the unsung heroes of the AI landscape, crucial for building effective data preparation pipelines. As the field evolves, the demand for better data quality evaluation tools is expected to grow, signaling a shift in focus within MLOps.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann
Related Questions