Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

A boring setting with huge payoff.

The days of manually copying and pasting data into Excel. That is the worst kind of bad debt, throwing away your precious resources (time and brain processing power) down the drain. If you think of ...

DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...

So far Excel users had three ways to invoke Copilot. Microsoft has now decided that was three too many. In February 2026, the company retired App Skills entry points from the Excel ribbon and context ...

A critical sandbox escape vulnerability in Grist-Core has been disclosed that allows remote code execution (RCE) through a single malicious spreadsheet formula. The issue was uncovered by Cyera ...

What if the Excel you know today could completely transform the way you work tomorrow? Below Jon from Excel Campus explores how the new 2026 updates to Microsoft Excel aren’t just incremental ...

Businesses continue to rely on Excel, so much so that financial specialists claim you'll "have to pry Excel out of their cold, dead hands" before they ever stop using it. Businesses heavily rely on ...

Microsoft's SPREADSHEETLLM compresses spreadsheets by up to 96%, enabling LLMs to process larger datasets efficiently. Achieve state-of-the-art performance in spreadsheet table detection, ...

Excel is constantly changing, and this month, you can use the enhanced capabilities of Copilot and Python to speed up your workflow, focus on data analysis, and tailor the program to your requirements ...

Integration for Jupyter notebooks and Microsoft Excel. See the Python Jupyter Notebooks in Excel blog post for more details. Once installed a "Jupyter Notebook" button will be added to the PyXLL ...