Say Goodbye to Data Wrangling
Typically data wrangling accounts for 90-95% of the effort in building a machine learning pipeline, and progress is often slowed by the unforeseen challenges it presents. Cortex automates this process by continuously ingesting your data from multiple data sources, aggregating and cleaning that data, and finally transforming into the features necessary for model selection. With these steps automated for you in Cortex, your team is free to focus on strategy and apply the results.
The Right Model for Every Prediction
Choosing the best model for a prediction often requires guess work and trial and error. This is not only time consuming but also requires deep expertise in AI and Machine Learning. By automating Model Selection, Cortex gives the power of AI to everyone in an organization.
Prediction Types for Every Use Case
Cortex was built for flexibility, allowing you to create multiple predictions from the same data sources. These predictions include
- Predicting Future Events
- Finding Look-Alikes
- Uplift Modeling
- Customer Recommendations
- and much more!