OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

Let's follow up the last column with a step-by-step breakdown shows how the PowerShell script automates SQL Server backups, manages retention, logs activity and verifies data integrity. In my first ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

In this video, I demonstrate how to make three waterfall tables. The first is a simple version made from ash, the second features an epoxy river crafted from elm crotch, and the third incorporates a ...

Database administrator with 14+ years of hands-on experience in database management and database design.

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn ...

I am trying to create a query rule on one column of a table that is present in multiple MySQL databases. Can someone help me resolve this? I have taken a look at the mysql_query_rules table in ...

Artificial intelligence (AI) and database management systems have increasingly converged, with significant potential to improve how users interact with large datasets. Recent advancements aim to allow ...