As demand for AI surges, AI vendors are under pressure to enhance data security practices amid emerging regulations and client skepticism about data usage.
Abhi Sharma notes, 'Most companies face three main hurdles to AI adoption: lack of visibility to data in AI, the complexity of data handling, and rapid pace of innovation.'
Leila Golchehreh emphasizes the importance of aligning data usage with governance policies, stating that more must be done for organizational visibility in data processing.
Half of organizations view data security as their top barrier to implementing AI, according to a survey from BigID, highlighting prevalent challenges.
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