For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

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 ...

Thanks to a boom in generative artificial intelligence, programs that can produce text, computer code, images and music are readily available to the average person. And we’re already using them: AI ...

As artificial intelligence adoption accelerates across campuses, higher education leaders must balance innovation with data ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Artists and writers are up in arms about generative artificial-intelligence systems—understandably so. These machine-learning models are capable of pumping out only images and text because they’ve ...

Large language models are trained on troves of personal data hoovered from the internet. So I wanted to know: What does it have on me? For a reporter who covers AI, one of the biggest stories this ...