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 prompts, although the finding comes with significant caveats. The research ...

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 ...

The downsides are real, but these aren't deal-breakers. Scaling data AI monetization with free models means owning the full ...

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

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 ...

Every company wants to make breakthroughs with AI. But if your data is bad, your AI initiatives are doomed from the start.

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 ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...