Machine Learning Models
Data Science teams can build custom machine learning models using Python and SQL SDKs in a fully managed development environment.
Discover the real-world applications of Machine Learning
Data Analyst teams can build their own custom calculated attributes in the CDP with Snowflake SQL.
Take the first steps towards predictive insights
Models and Calculations
Marketing teams can surface and rename the output of ML model scores or custom calculations in the CDP, then use them anywhere for campaigns or analytics to build data driven customer experiences.
See Machine Learning Studio in action
Advanced Data Exploration
Data teams can leverage a mix of SQL and Python code, as well as out-of-the-box libraries for advanced data exploration, profiling, trend analysis, and elaborate data reporting and visualization.
Ready to transform your customer data?
Endless Capabilities for Your Team
Manage the whole CDP data layer for data reads and data persistence.
Self service Jupyter notebook environment for data teams.
Elastic ML infrastructure for large data volume and efficient data processing.
Ease interaction with CDP data/managing models and calculations.
Direct access to platform-level functions such as custom model refresh and the ability to customize display elements.