MLOps: The rise of machine learning operations - TechCentral.ie

As hard as it is for data scientists to tag data and develop accurate machine learning models, managing models in production can be even more daunting. Recognising model drift, retraining models with updating data sets, improving performance, and maintaining the underlying technology platforms are all important data science practices. Without these disciplines, models can produce erroneous results that significantly impact business. Developing production-ready models is no easy feat. According to one machine learning study, 55% of companies had not deployed models into production, and 40% or more require more than 30 days to deploy one model.