BlueConic CDP

AI Workbench Overview

Analyze Propensity to Churn

Calculate Customer Lifetime Value (CLV)

Model Recency, Frequency, and Monetary Value (RFM)

Optimize AI Workbench Performance

Perform Advanced A/B Testing

Predict Propensity to Churn

Run Probabilistic Matching Models

Update AI Workbench Notebooks for the Q4-2024 Release

Use the BlueConic Python Package in AI Workbench

Update Python packages

AI Workbench Models overview

Use the AI Assistant in AI Workbench

Dialogue Models Overview

AI Workbench code completions

Continuous Models

Next Best Action for Dialogues

Look-alike notebook

This article walks through the structure, deployment, and implementation of custom recommendation models in BlueConic, including several practical examples to help you get started.

Recommendation models

Dialogue models

AI Workbench

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Create your workspace and invite the people you work with.

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Build your first workflow and watch it run end to end.

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Connect the tools your team already uses to bring data in.

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A quick lap of the product so you know where everything lives.

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This prototype demo is aware that you are reading “{title}”. It can point you back to the current article, but a production article-aware Fin contract is still follow-up work.

Prototype article-aware answer

Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

Prototype getting-started answer

In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

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In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

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This prototype demo does not have a scripted answer for that question yet. Try asking how to invite your team or open a source article. No production Fin API was called.

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