A.I. Adoption Is Surging. Data Governance Is Not Keeping Up.
Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering those systems. As companies operationalize generative A.I., many are building governance frameworks that still rely on poorly governed data, creating growing risks around bias, compliance and accountability.
Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering those systems. As companies operationalize generative A.I., many are building governance frameworks that still rely on poorly governed data, creating growing risks around bias, compliance and accountability.
Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering those systems. As companies operationalize generative A.I., many are building governance frameworks that still rely on poorly governed data, creating growing risks around bias, compliance and accountability.
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