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AI Studio
Learn how to combine Listening and AI to turn vast amounts of unstructured customer data into powerful, actionable insights

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Getting Started with Sprinklr Insights

Sprinklr Insights Glossary

Surveys

Social Listening

Media Monitoring & Analytics

Product Insights

Location Insights

Audience Insights

Competitive Insights & Benchmarking

Visual Insights

Conversation Insights

AI Studio

Create a Existing Model Validation for Text Classifier in AI Studio

Building an AI model to filter out irrelevant data for accurate brand insights

Create Golden Datasets in AI Studio to calculate your accuracy metrics

Introduction to Text Classifier in AI Studio

Create a New Model Training project for Text Classifier

Sprinklr's AI Studio

Building an AI model to segment and action on potential leads

Import Training Datasets Using FPDI

Create an Existing Model Validation for Sentiment or Advanced Insights in AI Studio

Introduction to Sentiment and Advanced AI Models in AI Studio

Classify messages and train the new model

Validate classifications of the existing model

Create Custom Fields for AI Studio

Building an AI model to analyze product feedback in automobile industry

Rule Engine support for AI Studio's Text Classification models

Review validation and accuracy report

Validate predictions of the new model and deploy

Use AI Studio as a data source in the Listening to report on projects

Editing or suspending your new model

Get familiar with all platform and email notifications about AI Models’ status

Alerts

Reporting & Analytics

Data Sources & Channels

Sprinklr AI+