Chiranth Ramaswamy

DevOps inspired the development of MLOps practices to automate and streamline the entire machine learning lifecycle, from development to production and maintenance. Now when businesses are heavily relying upon data-driven decisions, there is a need for automating the workflow to improve the quality of data, increase the efficiency of analytics, and reduce the time cycle of data analytics and machine learning. This workshop enlightens the MLOps practices and puts focus on the requirements of DataOps. Along with that, the DataOps methodology to create automated data workflow for organizations will be covered in detail in this workshop.