ML Ops
We follow a ML Ops approach that allows teams to deliver quick and easly new features, train new models and predict outcomes easily. Data science isn't rocket science, but it can be hard if done wrong.
Discover and analyse new data
Using Data Science as a service, your company can benefit from an external look to discover patterns and new ways of seeing and analyzing information that an internal look can sometimes ignore due to habits.
What we deliver
Focusing on methodology and procedures, we aim to fulfill the GAPs between IT and business needs:
Requirements Engineering
ML Use-Cases priorization
Data availability check
ML Model Engineering
Spark development
Model test and validation
ML Model deployment
Monitoring and triggering
Model re-trainings
Ok, You have data. Let us help you create new one!
Your data is ready for reporto the best visual options!
Out data analytics service at your disposal. No hassles.
DevOps