Tag: ai

In 2026, the phrase "data-driven" feels outdated. With the rapid evolution of agentic AI, autonomous software agents are no longer just analyzing charts; they are executing complex workflows, triggering automated actions, and shifting businesses into the agentic era.

While many resources explain how to use artificial intelligence (AI) in business analytics, it is just as important to recognise the tasks where AI, especially large language models (LLMs), is either ineffective or inappropriate. In academia, AI and LLMs are not synonymous; AI is a far broader field. However, LLMs have proven so versatile that, in ...

Data analysts are watching AI write their SQL, clean their datasets, and draft their reports. So what is left for them to do and should they be worried?

AI models often rely only on training data, resulting in generic, unrealistic responses. MCP technology addresses this by integrating multiple context sources, both internal and from the business environment.

This report examines how Megaladata uses artificial intelligence to solve diverse problems. It details the specifics of working with large language models (LLMs) in Megaladata, including: Structuring and classifying reference information Automatic documentation Code generation Automating data processing

Large language models (LLMs) now simplify code development by generating functional code from natural language prompts. For Megaladata’s JavaScript component, custom prompt templates enable rapid script generation, accelerating the creation of analytical workflows. This article explains how to select an LLM, prepare prompts, and apply practical rec...

Businesses are investing more in data, but only those who turn analytics into a reliable decision-making tool see real returns. The key to successfully adopting new technologies is building stable, repeatable, and manageable processes. AI isn’t a universal solution, but it excels in specific tasks, especially those involving large data flows, repet...