The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

The Cowboys received the second-half kickoff, but they didn’t possess the ball long. Dallas turned it over on the first play from scrimmage in the third quarter, and two plays later, the Lions upped ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...

While everyone’s asking ChatGPT to write their grocery lists, I’ve been finding the AI tricks that actually save you hours of work. The prompts that make you sound smarter in meetings. The tools that ...

Otter.ai CEO Sam Liang isn’t satisfied with the company being viewed, and used, as just a meeting notetaker. Liang wants Otter.ai to become a go-to source for enterprises and a new batch of products ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

Cloudy Tactics: In another effort to steer Windows customers toward Azure, Microsoft is offering a new tool that converts virtual machines between two formats. The goal is to help organizations stay ...