AI Enrichments
This article explains how to use AI Functions in askEdgi to enrich data using natural language. It describes how to create calculated columns, classify data, analyze text, and view the AI prompts and context used to generate results.
Why AI Enrichment Matters
Exploratory analysis provides answers, but deeper insight often requires creating new columns, classifying values, or enriching existing data with advanced intelligence. Traditionally, these tasks involve writing formulas, scripts, or running models in external tools.
askEdgi integrates these capabilities directly into the Workspace through AI Functions. Using natural language prompts, new calculated columns can be created, records classified, or text data analyzed without the need for external scripting or additional tools.
What Can Be Done
AI Functions provide the ability to:
Create calculated columns (e.g., profit margin percentage)
Perform classifications (e.g., High/Medium/Low risk)
Apply text-based analysis techniques, including sentiment analysis, intent detection, emotion recognition, and classification, to analyze text data.
Use Case & Real-Life Scenario
Continuing the return analysis, a product manager explores severity levels using AI enrichment:
“Create a new column for return_rate = (returns/orders) * 100.
askEdgi generates a calculated column return_rate for each product.
“Classify products into High, Medium, or Low return categories based on return_rate (High: >30%, Medium: 10–30%, Low: <10%).”
askEdgi creates a new column return_category, to highlight product risk levels.
“Perform sentiment analysis on customer_reviews.”
askEdgi enriches the dataset with a sentiment_label column (Positive, Neutral, Negative).
By combining return patterns with sentiment insights, the analysis reveals that products with negative sentiment also report the highest return rates, signaling potential quality issues.
Different AI enrichments
Prompt Analysis Evaluates the clarity and effectiveness of user-generated prompts to ensure accurate results.
Example: Generate a new column comparing income in the dataset against the average income to provide deeper insight into earning levels.
Sentiment Analysis Classifies text data into Positive, Neutral, or Negative categories.
Example: Analyze customer reviews, browsing history, and purchase records to gain insights into customer behavior.
Intent Analysis Identifies underlying intent in textual data, classifying it into predefined categories.
Example: Detect intent in customer support or compliance interactions.
Emotion Analysis Detects emotional tones in text for better understanding of customer experiences.
Example: Assess emotions in product reviews or support conversations.
Text Classification Categorizes text into domain-specific classes such as fraud detection or spam filtering.
Example: Apply classification models to incoming emails or financial records to automate data analysis and processing.
Proofreading Identifies grammatical, clarity, and structural issues to ensure professional communication.
Example: Refine business documents or product descriptions for improved readability.
Availability
Public – Available (AI column creation and enrichment)
SaaS – Available (full AI functions)
On-Prem – Limited (Metadata analytics only)
AI Prompt and Context Visibility
askEdgi generates columns, insights, and results using AI based on user inputs and available data context. To improve transparency and trust, the system now allows users to view the prompt and contextual information used during AI processing.
This capability helps users understand how a result was generated, making it easier to explain outputs, validate logic, and troubleshoot unexpected results.
The feature is available only for AI-generated artifacts and is accessible directly from the analysis output.
Functional Behavior
For any column or result generated using AI:
Users can view the prompt sent to the AI
Users can view the context used during execution, such as:
Tables involved
Columns referenced
Relevant metadata or glossary terms
This information is presented in a read-only format and is intended for understanding and validation purposes only.
Accessing AI Prompt Details
Users can access prompt and context details using the following entry points:
AI Icon on Output
AI-generated columns or results are marked with an AI indicator
Clicking or interacting with this icon reveals prompt details
View AI Prompt Option
A dedicated action may be available to open the prompt view
Both options provide the same information and are designed to be easily accessible during analysis.
Prompt and Context Details
When accessed, the system displays:
The exact prompt sent to the AI
The context used for generating the result
Clear distinction between:
User-provided input
System-generated prompt components
This ensures that users can fully understand how the AI arrived at a specific output.
Hover-Based Quick View
For quick inspection, users can hover over the AI-generated function or column.
The hover view provides:
Function name
Input columns used
Output column generated
AI prompt used
Confidence or accuracy (if available)
Timestamp of creation
This allows users to quickly inspect AI behavior without opening a detailed view.
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