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#changemanagement — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #changemanagement, aggregated by home.social.

  1. Most orgs chasing the latest AI model are missing the point entirely.

    Sophie Dionnet from Dataiku puts it plainly: the transformation you need today doesn't require the newest model. It requires the hard, unglamorous work of change management.

    The real trap? Preferring the new toy over actually putting it to use.

    Watch on YouTube: youtube.com/shorts/1iSO634q-Lw

    #EnterpriseAI #Dataiku #ChangeManagement

  2. Most orgs chasing the latest AI model are missing the point entirely.

    Sophie Dionnet from Dataiku puts it plainly: the transformation you need today doesn't require the newest model. It requires the hard, unglamorous work of change management.

    The real trap? Preferring the new toy over actually putting it to use.

    Watch on YouTube: youtube.com/shorts/1iSO634q-Lw

  3. Why Most AI POCs Stall and How to Build an AI Operating Model That Works

    Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.

    bhavingandhi.com/2026/08/26/wh

  4. Why Most AI POCs Stall and How to Build an AI Operating Model That Works

    Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.

    bhavingandhi.com/2026/08/26/wh

  5. Why Most AI POCs Stall and How to Build an AI Operating Model That Works

    Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.

    bhavingandhi.com/2026/08/26/wh

  6. Why Most AI POCs Stall and How to Build an AI Operating Model That Works

    Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.

    bhavingandhi.com/2026/08/26/wh

  7. Why Most AI POCs Stall and How to Build an AI Operating Model That Works

    Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value.

    bhavingandhi.com/2026/08/26/wh