Spreadsheets are essential business tools for many organizations. When used properly, they can organize and manage critical business information efficiently, helping teams visualize and analyze large ...

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Over the last decade or so, the modern ...

Learn how to harness the power of CoPilot 365 in Excel to streamline data analysis, uncover insights, and enhance productivity. This video provides step-by-step guidance on using AI tools to make ...

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...

Spreadsheets have been a trusted companion in our professional lives for decades—whether it’s tracking budgets, analyzing data, or planning projects. But let’s be honest: as powerful as tools like ...

Large language models like ChatGPT have traditionally had trouble reading and interacting with spreadsheets, limiting their application in this realm, but recent research from Microsoft claims to have ...

Learn Data Analysis Essentials in Excel in just 12 minutes! This tutorial uses a real-world dataset on the Olympics to cover the 4 core steps of data analysis in Excel: 1. **Clean** - Create a backup ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Fifteen years ago, I logged my concerns about the limitations of Excel. Have we overcome these problems? Has the downside of spreadsheets been reduced? A deeper look sees progress in some areas - and ...

Spreadsheets are a powerful, multipurpose tool used by businesspeople, analysts, data scientists, and technologists to collect, integrate, cleanse, analyze, and present data. They became popular in ...