Data Science - Automated
Machine learning automates the application of data science enabling computer systems to apply artificial intelligence models to data and provide estimations. Machine learning models evaluate data, find patterns, and can make or recommend decisions in real time as part of application and service offerings. Machine learning can be used in cybersecurity, object recognition, fraud detection, marketing, sales qualification, process optimization, and anywhere where data is evaluated as part of decision making.
Understanding Your Needs
The first step in creating a machine learning solution is to understand your organization and its needs. We work closely with our clients to do just that. By taking the time to develop a deep understanding of what your organization is looking to do, we gain understanding of how machine learning can best help you, the data you have that can be useful in creating models, other data that may need to be captured, and how model-based estimations can benefit your organization.
Model Prep & Implementation
Once we understand the problems to be solved we help our clients with all aspects of ML model development including:
Data collection, from storage to preparation.
Data exploration, model selection, and evaluation.
Model build, training, and verification testing.
Model implementation as an application or web service.
Pipeline implementation to fully automate all workflow steps in the model.
As with our other consultation services, our data scientists can augment your staff, or provide full outsourced model creation.