Microsoft has officially introduced Copilot function In Excel for Windows and Mac, bringing the power of large language models (LLM) directly into the spreadsheet. This step represents a fundamental change: AI is now a native feature, not only an external ad-in or separate device. Users can now analyze data using natural language, summarize and summarize and generate and generate and generate them directly inside their Excel formulas.
How Kopilot function works
Copilot function Allows users to indicate using the natural language in any cell, referring to cell values or references as references. The syntax is straight:
text=COPILOT(prompt_part1, [context1], [prompt_part2], [context2], ...)
- Prompt_part: The text that describes the function of AI (for example, “classify this reaction” or “briefly A1: A50”).
- Context (Alternative): Reference to cells or range to process AI.
key features
- Immediately AI-Travel Analysis: Input a quick and reference – the function produces summary, categories or lists to immediately update as your data change.
- Seamless integration: Copilot sits within Excel’s calculation engine and works with standard functions such as IF, switch, or lambda, enables the fusion of traditional Excel logic with AI-borne results.
- Dynamic update: There is no need to recreate the script or refresh the ad-in. Any change in data automatically reorganize AI output.
- Multiple use cases: Customer response, summary generation, spirit analysis of SEO Keyword Manthan, for Table/List Building – Adapts for diverse analytical and creative workflows.
Examples use
- Classification response: Basic lesson
=COPILOT("Classify this feedback", D4:D18) - Generating lists: Basic lesson
=COPILOT("Generate airport codes for major US cities") - Summary Data: Basic lesson
=COPILOT("Summarize", A1:A50)
Technical insight
- Auto-update and privacy: Copilot auto-updates with data changes and does not use the data provided by the user to train the underlying AI model, ensuring privacy.
- Function call limits: Users are allowed 100 calls every 10 minutes And 300 per hourPassing arrays in the form of single call can help maximize the use efficiency.
- Integration with existing functions: Copilot results can be used as inputs of other formulas, which dramatically expands analytical abilities within the spreadsheet.
- No external data access yet: Copilot uses data only from within the workbook; Live web data and support for internal business doors are planned for future updates.
- Alternative Implementation: The function is opt-in and only is present in your sheet if you choose to use it.
Availability and rollout
- Beta Channel User: Microsoft 365 Copilot is available to license holders who are running the Windows Excel version 2509+ or MAC version 16.101+.
- Excel for web: Roll soon through Frontier Program.
- Comparison of chatgpt integration: Unlike external AI chat Tools, Copilot Offer nativeAuto-Rifrasing Analysis-Axel Cleaning Workflow Gap for users who previously rely on copy-paste between apps.
Use case scenarios
- churn: Quickly generate SEO keywords, re -write messaging, or product features.
- Classification and Tagging: Classes support tickets, survey reactions, or scale – external tagging tools are not required.
- Reporting and Summary: Convert the complex dataset to digestive narratives for stakeholders.
- Automation: Build a list, table and project plan with the same prompt, immediately populate the grid.
Tips to use Copilot
- Quick Engineering: Clarity matters – repeat clear instructions, specify the range, and set the desired output format (eg, tables, lists).
- Instruction: Use action-oriented instructions (“summary”, “classified”) for better results.
- Verification: Always review the AI-Janit output, especially for business-mating tasks.
- Use Strategy: Maximize the call by referring to individual cells versus arrays.
conclusion
Copilot function marks a significant moment for the function excel, embedding advanced AI directly into the business platforms used in the most widely used in business. Originally with the ability to generate, analyze and summarize data, Excel changing how users interact with their data – make the workflows smarter and more efficient. The native integration bridges the gap between the spreadsheet and the AI, and indicates a future where generative models become default companions in business analytics.
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Michal Sutter is a data science professional, with Master of Science in Data Science from the University of Padova. With a concrete foundation in statistical analysis, machine learning, and data engineering, Mishhala excelled when converting the complex dataset into actionable insights.
