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Dataiku executive: Enterprise AI success hinges on change management, not models

By PulseAugur Editorial · [1 sources] ·

Sophie Dionnet of Dataiku highlighted that the primary challenge for enterprise AI adoption is not the technology itself, but rather the difficulty in managing the organizational change required for implementation. She emphasized that the gap between making an AI decision and successfully implementing it can span up to two years, determining the ultimate success or failure of AI initiatives. AI

IMPACT Successful AI implementation in enterprises depends more on organizational change management than on the AI models themselves.

RANK_REASON Opinion piece from an executive discussing enterprise AI challenges.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Dataiku executive: Enterprise AI success hinges on change management, not models

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    AI isn’t magic. In our conversation with Sophie Dionnet (Dataiku), she cuts to the real enterprise AI trap: not models, but change management. “Taking a decisio

    AI isn’t magic. In our conversation with Sophie Dionnet (Dataiku), she cuts to the real enterprise AI trap: not models, but change management. “Taking a decision is one hour, implementation is two years.” That gap is where AI succeeds or stalls. Watch on YouTube: https:// youtube…

    LINKS youtube.com/…/Rh2kZ4P_ib4

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