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

The new features, including connectors to third-party data sources, are aimed at making the AI assistant more useful for ...

A boring setting with huge payoff.

"I have the JAN codes, but it's a hassle to look up the Amazon product names and ASINs." "There are so many products that searching one by one is endless." "I want to get everything, including image ...

capellambse allows you reading and writing Capella models from Python without Java or the Capella tool on any (reasonable) platform. We wanted to "talk" to Capella models from Python, but without any ...

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 ...

Nasdaq's market share, advanced technology, extensive portfolio of markets, and data partnerships contribute to its reputation as a premier and reliable market data provider for prominent industry ...

Spreadsheet apps like Microsoft Excel and Google Sheets are used worldwide to organize and analyze data, but getting the right information into them isn’t always straightforward. Businesses often need ...

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 ...