Redgate is adapting its database platform with AI, but opts for a human-centered approach. CTO McMillan talks about trust and ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Overview: Text-to-SQL simplifies queries but can misinterpret data structures and phrases.Ensuring up-to-date schema info and providing examples improves accura ...

Kinetica, the speed layer for generative AI and real-time analytics, is integrating with a native large language model (LLM) that enables consumers to use natural language to perform ad-hoc analysis ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...

The Common Data Model, which Microsoft describes as "an out-of-box business database for storing and managing business entities," is at the center of its PowerApps service for building custom business ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and querying ...