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.

Trust in the data behind artificial intelligence and other data-driven initiatives is going downhill – fast. A recent survey finds fewer than half of business leaders say they have the data they need ...

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains ...