The MLOps Component Nobody Builds in Their Portfolio (And Why It Matters Most)
The article discusses the importance of feature stores in MLOps, a component often overlooked in personal projects. It highlights that while many machine learning engineers are familiar with feature stores, few have experience building one from scratch. The author shares their learnings from undertaking this process, emphasizing its critical role in production ML systems. AI
IMPACT Highlights a critical but often neglected component in production ML systems, potentially guiding engineers on best practices.