Machine learning is transforming the tech sector and other industries like retail, manufacturing, supply chain, banking, healthcare, education, and insurance. The problem is that bringing machine learning into these fields requires not only experts who can train models, but also the ability to deploy and maintain ML models in production. This is a common pain point in many organizations. This is where MLOps is useful. MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. Link to academic paper discussed in this episode: https://arxiv.org/pdf/2209.09125.pdf