Virtually every organization has heard that they need to establish an MLops practice or at least define an MLops strategy. Because machine learning systems are complex software systems built by cross-functional teams, the ecosystem of tools supporting MLops is rich and diverse. Unfortunately, enterprises often attempt to understand MLops by first understanding this ecosystem or by studying another organization’s processes.
Learn a framework for making sense of what you need from MLOps that will also enable you to understand what the ecosystem offers. You’ll learn how to support the entire machine learning workflow, to evaluate which offerings are best for your needs, and to tailor a solution for your team — including practical concerns like integrating accelerated computing and cloud-native infrastructure. You’ll leave this session with a clear map to MLOps processes, practices, and solutions that will support your organization’s machine learning initiatives.