BlueConic AI Workbench

How to use BlueConic CDP's AI Workbench for artificial intelligence, machine learning, predictive analytics, marketing AI, CLV, RFM, and moreAI Workbench combines the power of machine learning with the rich profile data in the BlueConic customer data platform. Marketing teams can use machine learning to analyze their data, gain new insights, and further enrich individual profiles.

Using built-in Jupyter notebooks, data scientists can build and train machine learning models to analyze BlueConic data and return new, richer data to user profiles that can be used for segmenting and other CDP use cases.

See the BlueConic AI Workbench in action

AI Workbench use cases

With AI Workbench, you can apply the power of machine learning to your BlueConic data. You can use AI Workbench to run machine learning models with data from BlueConic profiles, connections, timeline events, and listeners.

  • Calculate predictive customer scores based on combinations of profile properties: customer life-time value (CLV); recency, frequency, monetary value (RFM); or propensity to buy, click, or churn.
  • Use clustering to discover new customer segments.
  • Compare different machine learning models to find the optimal algorithm for examining or enriching customer data.
  • Customer timeline events, which can be imported via BlueConic connections, can be used to train a machine learning model for calculating new scores for other profiles.
  • Create new AI-based data visualizations in Python.

AI Workbench architecture

AI Workbench is an integral part of BlueConic and uses the Jupyter notebook UI for building and training machine learning models on BlueConic data, which can be used for making predictions on other profiles. See the AI Workbench API page for reference documentation.

How does the BlueConic CDP's AI Workbench apply machine learning for AI marketing, machine learning, and predictive analytics to customer profile data?

Contact your BlueConic Customer Success Manager to get started using AI Workbench.

Resource usage

Your instance of AI Workbench uses a shared resource pool with other BlueConic customers. Note that BlueConic does not share data across customers; you only share resources such as memory and computing power.

Existing BlueConic customers can use AI Workbench free of charge as long as your total data operations remains smaller than the amount that is allotted to your subscription. Please contact your Customer Success Manager at support@blueconic.com if you intend to use this feature, to ensure your subscription can accommodate your intended usage. We'll discuss your requirements and upgrade your subscription as necessary.

Visualizing your AI Workbench results

You can view the results of your AI Workbench notebooks on BlueConic Dashboards. Visualize the results of your machine learning algorithms using the AI Workbench Notebook insight to see the results of all notebook cells or the Notebook insight (single cell) to visualize only one cell's results.

How to visualize results for BlueConic CDP's AI Workbench AI models, machine learning models, and predictive analytics for BlueConic customer segments

Privacy management

Notebooks can be added to BlueConic privacy and consent Objectives, allowing for privacy management of the information that is being picked up. When a notebook is related to an objective, only profiles that have given consent to at least one of the related objectives will be returned to the notebook. As a result, a notebook will only process profiles that have consented to at least one of the objectives that the notebook is linked to.

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