Cloud Infrastructure for ML
Do you have infrastructure capable of hyper-parameter optimization, model evaluation, automated training and retraining, version tracking and governance, or model and drift monitoring? Is your data centralized, clean, and ready for ML?
A technology backbone that provides you with all the capabilities required to successfully scale and operate an ML environment. We can develop your whole environment or lead specific components.
Center of Excellence
MLOps is a very expensive and multidisciplinary challenge to solve in-house. You need Cloud Architects, Data Scientists, Data Engineers, and ML Engineers. Even once you have all this talent in house, it's almost always the first time these roles are coming together to work on the MLOps problem. No SaaS tool or single hire solves for this.
We provide long-term strategic and operational support for ML Ops or Cloud environments by providing small special ops teams that serve as your Center of Excellence through a cost effective monthly pricing model.
Do you have the quality and volume of data necessary? How do you know you need ML over traditional analytics? What is your data strategy? Have your model prototypes shown causation or correlation?
Assess how close your business is to being able to build reliable ML products and identify concrete steps needed to be successful.