Top MLOps Trends Every Data Professional Should Know
Top MLOps Trends Every Data Professional Should Know MLOps ( Machine Learning Operations ) is emerging as a critical discipline for organizations aiming to harness the full potential of AI and machine learning (ML). By combining machine learning with DevOps principles, MLOps ensures seamless deployment, monitoring, and scalability of ML models. As technology advances, various trends influence the future of MLOps. Here’s a look at the top MLOps trends every data professional should know in 2025. Top MLOps Trends Every Data Professional Should Know 1. Increased Adoption of AutoML and No-Code Tools The rise of AutoML and no-code tools is simplifying the machine learning lifecycle. Platforms like DataRobot, H2O.ai, and Google AutoML enable data professionals to build and deploy models without extensive coding expertise. This democratization of ML speeds experimentation and shortens the time to implementation. In MLOps, these tools integrate effortlessly with pipelin...