MLOps evolved from the challenges of deploying machine learning models, transforming ML from isolated experiments into scalable, reliable business solutions. Inspired by DevOps, it automates data pipelines, version control, and monitoring, ensuring that AI systems remain efficient, reproducible, and valuable at scale. 🚀 Read more

As a manager, you were diligent and you set a data science project running that follows a carefully established strategy. But now, you have a thrilled data scientist who is explaining to you how his/her model has an impressive accuracy with a given validation strategy and you should start to use it in production. Can it be that simple? Read more