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Business leaders face mounting pressure to handle unforeseen operational costs, vendor "agent washing" and increasingly complex data governance requirements as they seek measurable value from artificial intelligence (AI) investments, says global tech research firm Gartner Inc.Organisations should establish AI adoption roadmaps, clear governance frameworks and disciplined risk controls that support sustainable returns over the long term.
Speaking at the recent Gartner Data & Analytics Summit, Jorg Heizenberg, vice-president analyst at Gartner, noted a stark divergence in cost perceptions surrounding AI deployment.
While 60% of IT leaders express concern that AI agents could drive unexpected financial burdens, only 20% of data and AI leaders are concerned unpredictable costs might limit AI value.
Georgia O'Callaghan, director analyst at Gartner, said measuring AI success requires moving past traditional financial metrics.
