Machine learning work focuses on models that classify, predict, or recommend based on your data, deployed as part of a production application rather than a standalone analysis.
Who this is for
Businesses with enough historical or operational data to make prediction or classification genuinely useful — forecasting demand, scoring leads, personalizing content, or automatically categorizing incoming data.
Capabilities
- Classification and tagging models
- Predictive analytics on historical data
- Recommendation systems
- Model APIs that plug into existing dashboards and workflows
Delivery process
The prediction or classification target is defined precisely first, since that determines what data is needed and how success is measured. The model is then trained, evaluated, and deployed behind an API the application calls directly.