PHOTO:
Adobe
How many Ops can you fit into the enterprise? A limitless number it would seem and many of them under the XOps umbrella. The goal of XOps, which includes DataOps, MLOps, ModelOps, and PlatformOps, is to create an enterprise technology stack that enables automation and reduces the duplication of technology and processes. In simple terms it is the natural evolution of DataOps in a workplace, and across the enterprise, to enable AI and Machine Learning (ML) workflows.
There is also one other ingredient that makes it a key element of the digital workplace. XOps enables data and analytics processionals to operationalize their processes and automation from the beginning rather than to address this issue as an afterthought. In this case, according to the Dev/Central community to operationalizeâ software means to apply a systematic approach to automating software building and orchestrating operational processes in a way that meets measurable, defined goals that align