Demystifying MLOps - Propelling Models

Presented by Women Who Code BlockDataPy Tech Summit
Speaker: Ashmi Banerjee, Data Scientist @ Deutsche Telekom

Transitioning from proof-of-concept to deployment is a change that many machine learning models struggle to make. While most industrial ML projects target to develop highly performant and scalable ML systems in production, it is often difficult to automate and operationalize these systems so that they work perfectly. This issue is addressed by the paradigm of Machine Learning Operations (MLOps). MLOps is a set of best engineering practices in ML, software engineering (DevOps) and data engineering that aim to build efficient and reliable systems in production. In this talk, learn the foundations of MLOps and its associated roles, as well as methodologies, challenges and the actions to automate the process of building an ML workflow to transform your prototype into a production-ready ML application.