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 ...

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 world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...