Machine Learning Studio

Boost marketing ROI with improved predictions, precise personas, and targeted personalization for better outcomes and revenue growth.

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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

See the Documentation

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Calculated Attributes

Data Analyst teams can build their own custom calculated attributes in the CDP with Snowflake SQL.


Take the first steps towards predictive insights

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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

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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?

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Features

Endless Capabilities for Your Team

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Direct Access

Manage the whole CDP data layer for data reads and data persistence.

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Centralized Management

Self service Jupyter notebook environment for data teams.

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Scalable

Elastic ML infrastructure for large data volume and efficient data processing.

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Pre-installed SDK

Ease interaction with CDP data/managing models and calculations.

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Platform-level Functions

Direct access to platform-level functions such as custom model refresh and the ability to customize display elements.

Additional Resources

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CDP Machine Learning Models: What You Need To Know

 

Read the Report

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Making AI Easy for Marketers

 

Read the E-Book

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Machine Learning Models to Consider for Your CDP

 

Read the Blog

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Facilitate Empathetic Marketing at Scale

 

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