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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

RS
Prompt Variables Available for Use Within Conv AI

The prompt variables are available in the Resource Selector. These variables help deliver richer context to Conversational AI and AI Agent Tasks by enabling access to key case, conversation, and profile information used for generating more accurate and relevant responses.Using Various PromptsCase St

26.1

Sprinklr Service

New Article

Service

Knowledge Base Article

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Configuration

SH
Build an AI Model to analyze product feedback in the automobile industry

Building an AI Model to analyze product feedback in the automobile industry is an effective way to gain valuable insights into customer sentiment and identify areas for improvement in product design and performance. ​Here's how it could work: Businesses can use Sprinklr AI Studio to create a Pr

Insights

AI Studio Use Cases

ai studio

Knowledge Base Article

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Building an AI model to analyze product feedback in automobile industry

SH
Access validation reports and feedback 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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Review validation and accuracy report

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Build an AI model to segment and action on potential leads

To effectively manage potential sales leads, it can be useful to segment incoming messages into different categories. One way to do this is by using Sprinklr AI Studio to build a model that can automatically classify messages into specific categories.Using Sprinklr’s Multi Text Classifier, the model

Insights

AI Studio Use Cases

ai studio

Knowledge Base Article

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Building an AI model to segment and action on potential leads

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AI+ Reporting

AI+ Reporting provides detailed insights into the performance and usage of AI-powered requests across your organization. It enables businesses to monitor, measure, and optimize AI interactions by offering detailed insights at the partner-specific level.Note: Retention PolicyReporting data is retaine

Sprinklr Service

marketing

Insights

social

+3

Knowledge Base Article

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AI+ Reporting

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Introduction to AI+ Studio

AI+ Studio is a one-stop platform for managing various AI features across different product suites in Sprinklr. This unified platform allows businesses to customize and deploy AI solutions tailored to their specific use cases, enhancing efficiency and effectiveness across the board. It is designed t

marketing

Insights

social

Service

Knowledge Base Article

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Introduction to AI+ Studio

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Filter out irrelevant data for accurate brand insights in AI Studio

Sprinklr’s AI Studio can be utilized for brand disambiguation purposes. This will involve distinguishing between messages that mention a particular brand and those that do not. For instance, if a message contains the word "apple," it may refer either to the fruit or to the brand "Appl

Insights

AI Studio Use Cases

ai studio

Knowledge Base Article

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

RS
Best Practices for Configuring an API in Conversational AI

Sprinklr's Conversational AI can seamlessly integrate with APIs, enabling real-time retrieval of information during conversations and assisting customers in resolving their queries.Prerequisites for Incorporating an API into Conversational AIA detailed description of the API inputs and outputsA

Service

Knowledge Base Article

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Configure an API in Conversation AI

RS
Understanding Generative AI Responses

​Note: Before starting, ensure you set up content sources, deploy the model in the dialogue tree, and test the bot.​In this article, we will deconstruct the Generative AI response, to understand the final output, sources fetched and referred and the metadata that we receive from the LLM. What is the

Service

Knowledge Base Article

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Setting up FAQ+ bot

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Rule Engine support for AI Studio's Text Classification models

Sometimes, messages need to be classified before additional configuration can take place. For example, in care configurations, the AI Model must classify messages before the case is created and tags are copied to the case level. This is important to make sure that the correct tags are applied to the

Insights

ai studio

Knowledge Base Article

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Rule Engine support for AI Studio's Text Classification models

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Create an existing model validation for Sentiment or Advanced Insights in AI Studio

This article will provide a step-by-step guide on how to validate Sprinklr's Sentiment or Advanced Insights Models. Check Introduction to Sentiment and Advanced AI Models in AI Studio for details about the model itself. If you want to create a new training project for the Text Classifier model,

Insights

Text Classifiier

ai studio

Validate Existing Model for Text Classifier

Knowledge Base Article

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

SH
Conversational AI - Admin Panel and Toggles

OverviewConfigure various settings for your conversation AI application.Timeout SettingsThe timeout happens when a user does not respond for a specified duration. Using Timeout Settings, you can handle the scenarios by reminding them that you are expecting a reply or take some specific actions. For

Conversational AI & Bots

Service

Knowledge Base Article

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Advanced Settings

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Introduction to Security and Compliance in AI+ Studio

AI+ Studio ensures robust security and compliance by implementing advanced data protection measures, safeguarding sensitive information, and maintaining regulatory compliance.Key Security and Compliance FeaturesThe following features are available under Security and Compliance in AI+ Studio.PII Mask

marketing

Insights

social

Service

Knowledge Base Article

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Introduction to Security and Compliance in AI+ Studio

RS
Add xAI as a Provider in AI+ Studio

This guide provides step-by-step instructions on integrating xAI as a provider in AI+ Studio using the Bring Your Own Key (BYOK) integration method.PrerequisitesBefore you begin, ensure the following requirements are met: Permissions: You must have Edit, View, and Delete permissions for AI+ Studio.N

marketing

Insights

social

Service

Knowledge Base Article

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Add Support for xAI

RS
Configure Provider and Models Settings in AI+ Studio

The Provider and Model Settings in AI+ Studio allow you to manage all your AI Providers and their associated Models. You can choose from the following options:Use Sprinklr-provided LLMs.Bring your own keys for a supported provider.Integrate custom models through an External API.Sprinklr in-house LLM

marketing

Insights

social

Service

Knowledge Base Article

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Provider and Models Settings in AI+ Studio

RS
Configure Guardrails in AI+ Studio

Guardrails in AI+ Studio help you enforce responsible AI usage by restricting the generation or processing of harmful, inappropriate, or policy-violating content. You can configure a Guardrail to monitor and restrict specific types of content generated or submitted through generative AI models.This

Sprinklr Service

marketing

Insights

social

+3

Knowledge Base Article

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Get Started with Guardrails

RS
Configure File Operations Node in AI Deployment Pipelines 

The File Operations Node introduces a standardized way to manage files within AI+ Studio pipelines. It enables you to: Upload static files directly into the pipeline for consistent and reusable inputs. Convert existing variables such as text, URLs, B

26.1

Sprinklr Service

marketing

Insights

+3

Knowledge Base Article

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Use-Case Deployments

RS
Summarize Widgets with AI

The Widget Summarizer is a one-click AI+ feature that delivers key insights directly from a widget, offering concise, actionable summaries alongside the visualized data. It removes the need for multiple drilldowns, giving you fast access to high-level takeaways. By pinning these summaries next to th

social

Sprinklr AI+ - SES

Social - SES

Knowledge Base Article

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Sprinklr AI+

RS
Add Anthropic as a Provider in AI+ Studio

This guide provides step-by-step instructions on integrating Anthropic as a provider in AI+ Studio using the Bring Your Own Key (BYOK) integration method.PrerequisitesBefore you begin, ensure the following requirements are met: Permissions: You must have Edit, View, and Delete permissions for AI+ St

marketing

Insights

social

Service

Knowledge Base Article

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Add Support for Anthropic

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