Companies have access to more data today than ever before, but if the quality is questionable, so are any inferences from it. As the old — very old — computer science saying goes: “Garbage in, garbage ...

Fallible models. Models can be powerful but are not infallible, and assumptions made by the creators can be naïve and lead to incorrect predictions. Poor quality data. AI and models are dependent on ...

The phrase “garbage in, garbage out” dates back to at least 1957, but it has certainly come back into vogue with the rise of artificial intelligence (AI) and large language models (LLMs). As with the ...

As organizations race to deploy AI, many overlook the hidden risk lurking beneath the algorithms: poor-quality, ungoverned ...

As artificial intelligence (AI) continues to evolve, we've seen more and more of its capabilities and limitations. We've witnessed AI perform tasks once deemed futuristic, reminiscent of scenes from ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...