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 power of Python trumps Excel workbooks.

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...

Every country produces data, but not every country produces it in an organized manner. What matters is not just the volume of data, but how it’s standardized and structured. The messiest or most data ...

While running comp bio, comp chem, and ML engineering teams for several years, we faced two main problems: (1) We made incorrect assumptions about how datasets were generated because their processing ...

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 ...

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 ...