TC-17 / TECHNOLOGIES
Machine learning that turns your data into decisions
Machine learning is a branch of AI in which models learn patterns from data to make predictions or decisions, from forecasting demand to scoring risk.
What we build with it
Forecasting and demand models, churn and propensity scoring, anomaly and fraud detection, recommendation systems and quantitative finance models.
Tools in our toolkit
Python, scikit-learn, XGBoost, PyTorch, pandas, feature stores, MLflow, model-serving APIs, monitoring for drift and cloud ML platforms.
When it is the right choice
Problems with plenty of relevant historical data and a clear measure of success.
When we would suggest something else
Simple rules or analytics may solve the problem more cheaply and transparently, and we will say so.
Frequently asked questions
How much data do we need?
It depends on the problem. A feasibility review gives a realistic answer.