WinWire’s 4-Week MLOps PoC automates and accelerates deployment of Machine Learning Models, to rapidly scale and embed ML across business functions.
Enterprises that have seen initial success with Machine Learning often face challenges as they develop more models and want to replicate the success across other business functions. Scaling up ML across an enterprise needs to address collaboration, reusability, model management, monitoring, tuning, and deployment.
WinWire, with its expertise in helping enterprises adopt ML, has defined an offering WinMLOps, powered by Azure and Databricks services.
WinMLOps enables rapid adoption of MLOps at an optimized cost through pre-built code templates for monitoring, metrics dashboards, model patterns, and best practices. WinMLOps includes options of pickle, wheel file deployment based on Azure DevOps, MLflow, Databricks, and Azure ML with Python.
MLOps: Proof of Concept Methodology