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Platform
  • Welcome to Infinity - AI Powered Data Analytics tool.
  • Interactive Quick Start Guide
  • Comprehensive User Guide
    • 1. Connecting Your Data
      • Uploading Files as a Datasource
      • Connecting to Databases and Cloud Data Sources
      • AI-Powered Data Definition Wizard
      • Managing Data Sources
      • Supported Data Connectors
    • 2. Charts
      • Creating Charts
        • AI Chart Builder
        • Drag-Drop Builder
        • Data Explorer
      • Chart Customization
        • Chart Configuration Basics
        • Intent and Its Role in Chart Generation
        • Modifying Selected Data Sources and Tables
        • Understanding and Editing the SQL Query
        • Changing the Chart Type
        • Modifying Data Components
        • Using Pivoting for Multi-Dimensional Analysis
        • Applying Filters
        • Customizing Chart with Advanced Editor Panel
          • Styles
            • Chart Background
            • Titles
            • Legend
            • Grid
            • X-Axis
            • Y-Axis
            • Secondary Y-Axis
            • Series
          • Sharing
          • Prompts
          • JS (Code Mode)
        • Using AI Chatbot for Quick Modifications
      • Featured Chart Examples
        • Line/Bar/Column/Scatter Chart
        • Combo Chart
        • Stacked Area/Bar/Column Chart
        • 100% Stacked Column/Bar/Area Chart
        • Pie Chart
        • Metric Chart
        • Bubble Chart
        • Geo Chart
        • Geo with Makers Chart
        • Sankey Chart
        • Histogram Chart
        • Annotation Chart (ToDo)
        • Table Chart
        • Tree Map Chart
        • Timeline Chart (todo)
        • Gauge Chart (todo)
        • Custom Charts
      • Managing Charts
      • Accessing Charts
      • Chart Actions
    • 3. Storyboards
      • Creating Storyboards
      • Storyboard Customization
      • Managing Storyboards
      • Accessing Storyboards
      • Storyboard Actions
    • 4. Feed Page
    • 5. Curated Page
    • 6. Beacons: Working with Unstructured Data
      • Beacon : Basics
      • Creating Beacons
      • Accessing Beacon Data
      • Managing Beacon
    • 7. User and Access Management
      • Inviting Colleagues
      • Approving Join Requests
      • Roles
      • Orgs
      • Distribution Lists
      • Layouts
    • 8. Site Customization
    • 9. Subscriptions
      • Scheduled Emails
      • Event Based Notifications (Alerts)
      • Managing Alerts and Scheduled Emails
    • 10. Profile and settings
    • 11. Making the Most of Infinity's AI-Powered Features
    • 12. Advanced Topics
      • Chart Variables
      • Custom Computes for Event Based Subscriptions
      • Drill-down or Reference Charts
      • Custom XLS Template
      • Custom PPT Template
      • Editing the Chart JavaScript
    • 13. Getting Additional Help
      • Video Resources
      • Best Practices
      • FAQs
        • Error while creating chart
        • User not able to access Charts
        • Unable to Create a DataSource
        • Hard Reset/Reloading the browser
      • Contact Support
  • Topics to address
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On this page
  • 1. Adding Table and Data Source Descriptions
  • 2. Optimizing AI Assistance for Charts
  • 3. Improving AI Query Responses
  • 4. Providing Feedback for Continuous Improvement
  1. Comprehensive User Guide

11. Making the Most of Infinity's AI-Powered Features

Here's a detailed section on making the most of Infinity's AI features in a GitBook-compatible format:


Infinity’s AI is designed to assist users in exploring, understanding, and analyzing data effectively. However, AI thrives on context—the more context you provide, the better its performance. Below are key ways you can enhance AI’s capabilities within Infinity.

1. Adding Table and Data Source Descriptions

AI performs best when it understands the structure and meaning of your data. While Infinity automatically identifies common data sources like Salesforce, Google Analytics, or YouTube, other data sources require additional context to improve AI accuracy.

  • Provide a Description for the Data Source

    • Explain what the data source is used for.

    • Describe the type of data it contains.

    • Highlight any nuances in the data (e.g., whether it includes historical data, real-time updates, or aggregated metrics).

  • Enhance Table-Level Descriptions

    • Clearly describe the purpose of each table within a data source.

    • Define relationships between tables, primary and foreign keys, and dependencies.

    • Specify column details, including data types, enumerations, and possible values.

    • Example: If you ask the AI to generate a chart showing "Sales in North America," the AI must understand whether the region column contains "North America," "NA," or some other format.

To simplify this process, use the Data Source Wizard, which walks you through these steps and helps capture all relevant details.

2. Optimizing AI Assistance for Charts

Each chart in Infinity has an AI-powered bot that assists users in understanding data. To maximize its effectiveness, provide additional context at three key levels:

1. Chatbot Prompt

  • Define key terms and acronyms that users might use in queries.

  • Example: If a chart displays sales data, users may ask about CAGR (Compound Annual Growth Rate). Adding this explanation ensures the bot understands and responds correctly.

  • Include details about data nuances, such as specific calculation methodologies, custom metrics, or segmentation.

2. Summary Prompt

  • When a user requests a summary, AI will reference these instructions.

  • Specify focus areas, such as highlighting trends, anomalies, or specific business insights.

  • Example: "If summarizing this chart, focus on year-over-year sales growth, key drivers of change, and regional performance variations."

  • Define the level of detail required—whether it should be concise, technical, or high-level.

  • Customize formatting if needed, such as bullet points, tables, or structured text.

3. Delta-Feed Prompt

  • Infinity’s platform can monitor material changes in data.

  • Define what constitutes a material change for your business.

    • Example: "For Customer A, a 2% drop in sales is significant, whereas for Customer B, a 10% change matters."

  • Specify any thresholds or key areas AI should watch.

  • Use the Delta-Feed Wizard to structure this information effectively.

3. Improving AI Query Responses

The AI-powered bot helps users interpret charts by answering questions, but it relies on clear and detailed queries. To improve its effectiveness:

  • Phrase questions clearly, providing as much context as possible.

  • Include specific examples of the types of responses you expect.

  • Remember that the bot’s knowledge is limited to the data and context provided—it does not have external knowledge beyond the dataset.

4. Providing Feedback for Continuous Improvement

If you notice inaccuracies or limitations in AI responses, provide feedback. This helps refine the model over time, improving its ability to assist users. Key feedback mechanisms include:

  • Reporting incorrect responses or misinterpretations.

  • Suggesting refinements for prompts and summaries.

  • Highlighting missing context that could enhance AI accuracy.

By actively providing context, structuring prompts effectively, and refining AI outputs, you can ensure that Infinity’s AI delivers highly relevant and insightful analysis tailored to your business needs.


Maximize the AI’s effectiveness within Infinity by adding context, structuring prompts, and providing feedback. 🚀

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Last updated 2 months ago