What is MLOps?

MLOps, a fusion of Machine Learning and Operations, is an emerging practice that addresses the challenges of deploying, managing, and monitoring machine learning models in production environments by borrowing best practices from DevOps. This approach has gained traction as businesses increasingly seek to integrate mature machine learning models into their software systems, necessitating expertise in data engineering, data science, and DevOps to tackle issues such as infrastructure, scalability, and performance. While some may view MLOps as a buzzword, it effectively encapsulates the tools, techniques, and skilled professionals operating at the intersection of these disciplines. Companies like Seldon are at the forefront of this field, offering solutions that transform the complexity of real-time machine learning deployment into a strategic advantage by focusing on flexibility, standardization, and cost optimization.