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

By PulseAugur Editorial · [1 sources] ·

Sophie Dionnet of Dataiku highlights that the primary challenge for enterprise AI adoption is not the technology itself, but the lengthy and complex process of change management. She emphasizes that while decision-making for AI implementation can be quick, the actual execution can span up to two years, determining the ultimate success or failure of AI initiatives. AI

IMPACT Highlights that successful enterprise AI adoption 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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Opinion piece from an executive discussing enterprise AI challenges.
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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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