Points of View
Five Designs for Trust: Next Practices Crucial to Build AI Usecases
Trust is the crucial fulcrum for any AI leverage
An HFS study on machine learning (ML) adoption shows that more than 50% of respondents indicate that proven security is critical to gaining their trust enough to use ML (see Exhibit 1). Only when enterprise users trust AI-ML solutions to be safe and secure will they adopt these transformational technologies.
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