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

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...

Easily create SQL queries and execute them on a database. For an example on how to use this library with data objects, see the VBA-Drupal-Library. For other examples on using the library, refer to the ...

Abstract: Problem solving, worked examples, and erroneous examples have proven to be effective learning activities in Intelligent Tutoring Systems (ITSs). However, it is generally unknown how to ...

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over… SQL is a programming ...

Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...

As generative AI systems like OpenAI’s ChatGPT and Google’s Gemini become more advanced, they are increasingly being put to work. Startups and tech companies are building AI agents and ecosystems on ...