Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

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 AI continues its rapid march through the legal industry, law firms are facing a new kind of strategic imperative. No longer is the question whether to use AI — but rather how to do so responsibly, ...

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 ...

From left, Tim Welsh, president of Nexus Strategy; Jeremi Karnell, head of data solutions at Envestnet; Stefan Ludlow, chief technology officer of Cerity Partners; Oleg Tishkevich, CEO of Invent; and ...

Hospitals, clinics, universities and other health-focused organizations routinely collect data on everything from spinal scans to sleep study results—but much of that valuable intelligence stays ...