No-Code Machine Learning Platform

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Data Wrangling

Cortex ingests raw behavioral and attribute data at massive scales and provides tools to automatically aggregate and clean the data.

Feature Engineering

Models learn from features, not raw behavioral data. Cortex's automated feature engineering searches across multiple time windows and nonlinear transformations.

Model Selection

Cortex eliminates guesswork by automatically testing combinations of algorithms and model parameters to build the best pipelines.

Business Integration

Use real-time APIs or recurring batch exports to easily integrate predictions, prescriptions, and recommendations into existing workflows.

Move Beyond Predictions to Decisions

Most models generate predictions like predicting “who will churn?”. Cortex allows your teams to go a step further. Using Cortex, your team can generate decisions to guide how to reduce churn using techniques like uplift modeling and next-best-action.

Use your Real-Time and Batch Data

Now your team can combine both real-time and batch data in machine learning. Cortex provides advanced tools like the Decisioning SDK which combine recurring batch predictions with real-time engagement data to enable targeting of anonymous and first-time users.

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Leverage Machine Learning Automation Tools

There are a lot of steps needed to enable continuous machine learning decisioning. Leverage advanced automated feature engineering, feature cleaning, and modeling techniques to accelerate time to market and ensure optimal performance.

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