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

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

In this tutorial, we'll break down how to use Python in Excel, perfect for beginners. No coding experience? No problem! We'll guide you through getting started with Python in Excel and show you how to ...

Have you ever wished Excel could do more of the heavy lifting for you? Imagine transforming hours of tedious data cleaning and analysis into just a few clicks. That’s exactly what Microsoft’s ...

Imagine transforming hours of tedious data work into mere minutes of productivity. That’s the promise of Microsoft Copilot in Excel, a new AI-powered assistant designed to transform how you manage, ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...