Despite advancements in AI technologies, trust has not gotten any closer between business and data science teams. AI governance might be an answer. AI governance seems to be “born” out of data governance. Data governance aims at appropriate information consumption through various processes and frameworks. Arguably, AI governance shares similar overarching objectives — but given its technical complexities, it needs a dedicated focus. They are related but different.
Read MoreAgainst this backdrop, leaders who want to transform culture must introspect if they’re really willing to do what it takes. Sustaining behaviourally-designed operating rhythms is a tremendous commitment, often requiring structural change and management overhead to generate accountability through both ‘means’ and ‘ends’.
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