Managing #machinelearning models in production is non-trivial. The training, maintenance, #deployment, #monitoring, #organization, and #documentation of machine learning (ML) models – in short, model management – is a critical task in virtually all production ML use cases. Wrong model management decisions can lead to the poor performance of an ML system and can result in high maintenance costs and less effective utilization. In this webinar,our #devops expert Vinay Kumar will talk about some problems in tracking model experiments, deployment, how they are overcoming these problems them will the latest tools.