One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

That means someone tucking certain documents away inside training data could potentially manipulate how the LLM responds to ...

As enterprises rush to embrace Generative AI (GenAI), many quickly realize that technology isn’t the first hurdle, it’s the ...

Tamed DB sprawl and saved cloudy resources with 'X-Stor' Exclusive Chinese web giant Tencent has revealed it created a NoSQL database that it believes can handle multiple data models more elegantly ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

The model-to-data framework allows AI models to access governed data across on-premises or cloud environments without ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

A low-water-use data center being developed in Evanston, Wyoming, by Prometheus Hyperscale is expanding to Texas. The data center in Evanston is ...