Adam Nahari on AI Transformation and Business Outcomes

AI Engineer15m 52s
Adam Nahari in a blue shirt beside the headline AI Business Outcomes on black.
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    Adam Nahari describes an airline crew-scheduling example to argue that successful AI transformation requires selecting a focused business problem and redesigning the surrounding workflowAI change management prepares people, processes, governance, and support for the organizational changes created by adopting AI systems.. He emphasizes leadership commitment and involving frontline users.

    The talk proposes adoption, time and metric gatesAI adoption is the process by which people and organizations begin using AI systems as a sustained part of real products, decisions, and workflows., along with checking unit economics against an agreed baselineEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria.. Reported adoption figures and project outcomes are presented as the speaker’s claims.

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    Adam Nahari in a blue shirt beside the headline AI Business Outcomes on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 2 November 2026 and duration 15m 52s.

    Adam Nahari outlines six moves for connecting AI projects to measurable business outcomes.