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RS
Knowledge Evaluation for Sprinklr AI Agents

The Evaluate Knowledge feature lets you bulk-test the accuracy and effectiveness of your AI Agent configurations. Using the Generate Q&A capability within AI Agent Studio, the system creates question and answer pairs from knowledge articles, validates agent responses, and integrates with the RAG

Sprinklr Service

New Article

26.4

Knowledge Base Article

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Knowledge Evaluations

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Platform Generative AI Use Cases

Sprinklr Platform includes a set of Generative AI capabilities that help users work more efficiently with content, code, and text‑based tasks. These capabilities reduce manual effort, simplify complex steps, and improve overall productivity. The capabilities fall into the following functional module

marketing

Insights

social

New Article

+3

Knowledge Base Article

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Platform Generative AI Use Cases

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Sprinklr Social Generative AI Use Cases

Sprinklr Social provides Generative AI capabilities that help teams work faster and create more engaging content across channels. It offers capabilities such as generating and modifying images, summarizing large volumes of comments with the AI Summarizer, and simplifying analytics through the Widget

Sprinklr AI+

marketing

Insights

social

+3

Knowledge Base Article

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Sprinklr Social Generative AI Use Cases

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Sessions Reporting for Conversational AI on Digital Channels

You can view reports on conversational AI session counts where a session is defined as all the messages within a 24-hour window in one conversation, counted as a single session. The next session begins from the first message received after the 24-hour window of the previous session is completed.To p

Service

Knowledge Base Article

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Session Reporting

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Bulk Testing of AI Pipelines

You can perform Bulk Testing for AI use case pipelines. Instead of testing one case at a time, you can run tests on multiple cases and analyze their responses together. Bulk testing is available for both inference pipelines and evaluation pipelines, making it easier to validate use cases like sentim

marketing

Insights

social

New Article

+3

Knowledge Base Article

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Use-Case Deployments

SH
Validate classifications of an existing model in AI Studio

In this article, we will guide you through the process of validating insights for a model in Sprinklr's AI Studio. If you want to create a new training project for the Text Classifier model, please refer to the article AI Studio (Text Classifier) - Create New Model Training Project. The followi

Insights

Text Classifiier

ai studio

Validate Existing Model for Text Classifier

Knowledge Base Article

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Validate classifications of the existing model

RS
Bulk Prediction: AI Agent

The bulk prediction feature enables you to run predictions for multiple queries at once using your AI Agents. It simplifies the process by handling large volumes of queries in a single step, saving time and effort while delivering results efficiently.Steps to Configure Bulk PredictionOn the Training

Knowledge Base Article

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Knowledge Content

SH
Use AI Studio as a data dource in Listening dashboards

This article describes how to plot the AI Studio dimensions to a Listening dashboard to get instant insights into your AI Project’s related data.​Sprinklr’s AI Studio allows you to test the AI models to your satisfaction and provide feedback to customize the models as per your requirements. Besides

Insights

ai studio

Knowledge Base Article

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

RS
Sprinklr Specialised AI Features for Marketing

Sprinklr’s Specialized AI for Marketing helps brands create impactful campaigns by leveraging advanced generative AI and predictive intelligence. These features enable marketers to analyze audience sentiment, identify emerging trends, and optimize content strategies across social, digital, and paid

marketing

Insights

social

Service

Knowledge Base Article

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Sprinklr Marketing Specialized AI Use Cases

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Sample Prompt for AI Autofill

This article oulines a sample prompt that can be used while configuring AI Autofill feature. For more information on the complete configuration steps, refer to Configure AI-powered ACW Autofill. Sample prompt for AI AutofillSystem Prompt: You are a highly accurate JSON Form Fill Generator GPT, speci

Service

Knowledge Base Article

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Providing a pre-filled ACW to the Agent

RS
Sprinklr Insights Generative AI Use Cases

Sprinklr Insights provides Generative AI capabilities that help users explore data, find important patterns, understand issues, and organize themes without needing advanced technical skills. These capabilities make it easier to review large amounts of information, summarize key points, and identify

Sprinklr AI+

marketing

Insights

social

+3

Knowledge Base Article

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Sprinklr Insights Generative AI Use Cases

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Sprinklr Specialised AI Insights Features

Sprinklr Specialized AI Insights Features provide advanced, AI-driven analytics to uncover deep, actionable insights from vast volumes of customer interactions and social data. These features go beyond basic reporting by leveraging machine learning and natural language processing to identify trends,

marketing

Insights

social

Service

Knowledge Base Article

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Sprinklr Insights Specialized AI Use Cases

RS
Sprinklr Marketing Generative AI Use Cases

Sprinklr Marketing provides Generative AI capabilities that help teams create better content, faster. It turns ideas into on‑brand copy, adapts it for each channel, and suggests improvements so your posts perform well. It also helps you brainstorm, rewrite, translate, and stay consistent with your b

Sprinklr AI+

marketing

Insights

social

+3

Knowledge Base Article

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Sprinklr Marketing Generative AI Use Cases

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Sprinklr Service Generative AI Use Cases

Sprinklr Service provides Generative AI capabilities that help agents work more efficiently, respond to customers faster, and handle cases with greater accuracy. These capabilities support tasks such as understanding conversation context, drafting responses, summarizing interactions, identifying key

Sprinklr Service

marketing

Insights

social

+3

Knowledge Base Article

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Sprinklr Service Generative AI Use Cases

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AI+ Studio

AI+ Studio is your centralized workspace for building, managing, and monitoring AI across Sprinklr.It enables you to manage models, configure safety checks, create AI workflows, and track performance — all within a single, unified environment.This one-stop platform offers comprehensive features, inc

marketing

Insights

social

Service

Knowledge Base Article

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AI+ Studio

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AI Creative Insights FAQs

Q: What does “No Detection” imply in best practice compliance?A: No Detection implies that the best practice rule is not applicable to that particular ad creative type. For example, if you are looking at Video length compliance then you might notice Not Applicable for all ads using Image assets (as

marketing

Knowledge Base Article

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Troubleshooting & FAQs

SH
Seamlessly Connect Your Conversational AI App to Channels

OverviewOnce your Conversational AI app is set up, the next step is testing it to evaluate user experience and flow accuracy. To connect your app with a channel, there are two methods. The first method scales using bot rules via the Rule Engine. In this article, we'll focus on the simpler seco

Service

Knowledge Base Article

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Bot Rule Setup

SH
Introduction to Sentiment and Advanced Insights Validation Projects in AI Studio

Sprinklr's Sentiment model classifies messages into Positive, Negative, and Neutral as per the sentiment of text used in the messages. This can be used to measure customer sentiment towards brands, campaigns, executives, products, events, etc., and to extract actionable insights to improve bran

Insights

AI Studio Use Cases

Introduction to Advanced Insights Validation Projects

ai studio

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Knowledge Base Article

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Introduction to Sentiment and Advanced AI Models in AI Studio

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Create Golden Datasets in AI Studio to calculate your accuracy metrics

Learn how to create a new Golden Dataset to test your AI Project against it.​Golden Dataset is a baseline dataset against which you will calculate your accuracy metrics (Precision, Recall, F1 Score). Every time you train the model, you can compare it to the golden dataset to plot accuracy metrics be

Insights

Calculate Accuracy Metrics

ai studio

Create Golden Datasets

Knowledge Base Article

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Create Golden Datasets in AI Studio to calculate your accuracy metrics

RS
AI Scoring

AI Score BreakdownAI Score Breakdown gives an overview of various parameters of the agent and customer conversation such as grammar, opening quality, empathy, closing quality, etc. with detailed explanations and recommendations for each.For example, it highlights the exact grammatical mistakes condu

Service

Knowledge Base Article

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Case Analytics Page Widgets

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