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, ...

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

Explore the salary comparison between Data Analysts and Data Scientists in Gurgaon in 2026. Learn about pay scales, career ...

Learn about DevOps pipelines and some of the best practices for implementing pipelines and automations in a DevOps environment. In software development and IT operations, DevOps has become an ideal ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI In the era of big data and diverse data formats, the ability to store and query semi ...

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 ...

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 ...

This repository contains the Azure SQL bindings for Azure Functions extension code as well as a quick start tutorial and samples illustrating how to use the binding in different ways. The types of ...

HANDS ON Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.

On Monday, a group of university researchers released a new paper suggesting that fine-tuning an AI language model (like the one that powers ChatGPT) on examples of insecure code can lead to ...