Drive superior AI outputs by leveraging LLMs with your own customer data.
Marketing Copilot
Chat with your CDP in everyday language to create and analyze segments.
Custom GenAI applications
Use our AI Framework to build your own generative AI capabilities and chat interfaces on top of Treasure Data CDP.
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We used to outsource some aspects of our marketing and data analysis. Now that we can easily access and analyze customer data in-house, we are motivated to look at problems and say, ‘Let’s try this too.’”
AI solutions for every user, from novice to expert
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Effort-free Marketing Copilot
Conversationally discover marketing and audience insights, and activate explored segments to engagement channels – all within a chat-based AI Copilot.
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Generate customer service content with GenAI
Scale individualized emails and talk tracks for your customer service teams. Make 1:1 experiences a reality with easy-to-use AI.
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Automated and precise machine learning models to drive better segmentation
Supercharge marketing segmentation and analysis with machine learning models. Treasure Data pre-configures the models for you, and makes these available to business users and data scientists.
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Bring your own models
Built for data scientists who want to develop or bring their own models. Treasure Data custom scripting enables you to adopt and execute external models within the platform.
Graphically define and utilize high-performing machine learning models to power insight-driven segmentation and customer journeys at scale.
AI performance, visualized
Put customer data at the foundation of CDP machine learning. Improve customer experiences and quantify and optimize each audience segment and journey for success.
Dynamic segmentation
Dynamically segment audiences using AI-generated attributes. Optimize the value of your customer data through AI-enhanced segmentation and journey orchestration.
Easier work with GenAI
A reimagined user interface marketers will flock to. Chat with Treasure Data CDP to build segments and journeys rapidly. All built on our AI Framework.
Treasure Data’s machine learning solutions are built on industry-standard ML models. These can be used out of the box; Treasure Data also enables data scientists to use AutoML as well as a custom scripting environment (see next FAQ).
Treasure Data offers a custom scripting capability that gives you the flexibility to code in Python and deploy your own models from scratch or use a public Python package.
Treasure Data offers an open-source SQL-based ML library, Hivemall, which is native to the platform and allows data analysts and data scientists to create and customize ML models in a Hive-SQL context.
We support Spark Shell, pandas, Jupyter R, TensorFlow, Spark, and more. Check out our integrations.
