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#businesstransformation — Public Fediverse posts

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

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  1. We're joined by Sophie Dionnet from Dataiku for a fantastic discussion on how to unlock real AI value in enterprises. She breaks it down to three core ingredients.

    Most AI failures aren't technology problems—they're change management problems. The hardest work is the transformation.

    Watch the full conversation on YouTube:
    youtu.be/Dt2ZvjxlRCg?ref=analy

    #AI #EnterpriseAI #BusinessTransformation #AnalysePodcast

  2. We're joined by Sophie Dionnet from Dataiku for a fantastic discussion on how to unlock real AI value in enterprises. She breaks it down to three core ingredients.

    Most AI failures aren't technology problems—they're change management problems. The hardest work is the transformation.

    Watch the full conversation on YouTube:
    youtu.be/Dt2ZvjxlRCg?ref=analy

  3. New episode! Sophie Dionnet of @Dataiku breaks down the 3 ingredients for extracting real value from AI: the right people, orchestration, & governance as a scaling enabler. Most failures? Change management, not tech. Fascinating examples. #AI #EnterpriseTech #BusinessTransformation

    Watch on YouTube: youtu.be/Dt2ZvjxlRCg?ref=analy

  4. New episode! Sophie Dionnet of @Dataiku breaks down the 3 ingredients for extracting real value from AI: the right people, orchestration, & governance as a scaling enabler. Most failures? Change management, not tech. Fascinating examples.

    Watch on YouTube: youtu.be/Dt2ZvjxlRCg?ref=analy

  5. One point I could not explore fully above is the importance of stopping decisions. Most governance systems are designed to approve investment, not withdraw it when assumptions change. I have expanded on that in the full TechnologyTrends article: technologytrends60.wordpress.c. Interested to hear how others handle this in practice. #Leadership, #CIO, #DigitalTransformation, #BusinessTransformation, #ITStrategy, #TechnologyLeadership, #ITGovernance, #BoardLeadership, #CapitalAllocation, #BusinessValue, #EnterpriseStrategy, #PortfolioManagement
    stayingalive.in/cataloguing-st

  6. One point I could not explore fully above is the importance of stopping decisions. Most governance systems are designed to approve investment, not withdraw it when assumptions change. I have expanded on that in the full TechnologyTrends article: technologytrends60.wordpress.c. Interested to hear how others handle this in practice. #Leadership, #CIO, #DigitalTransformation, #BusinessTransformation, #ITStrategy, #TechnologyLeadership, #ITGovernance, #BoardLeadership, #CapitalAllocation, #BusinessValue, #EnterpriseStrategy, #PortfolioManagement
    stayingalive.in/cataloguing-st

  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

  8. 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

  9. 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

  10. 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

  11. 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

  12. Fresh episode! Sophie Dionnet from Dataiku explains the three ingredients that turn AI into tangible value: the right people, seamless orchestration, & governance that scales, not slows. Most failures? They're change management problems. Watch on YouTube.

    youtu.be/Dt2ZvjxlRCg?ref=analy

    #AI #BusinessTransformation #Dataiku #AnalysePodcast

  13. Fresh episode! Sophie Dionnet from Dataiku explains the three ingredients that turn AI into tangible value: the right people, seamless orchestration, & governance that scales, not slows. Most failures? They're change management problems. Watch on YouTube.

    youtu.be/Dt2ZvjxlRCg?ref=analy

    #AI #BusinessTransformation #Dataiku #AnalysePodcast

  14. Fresh episode! Sophie Dionnet from Dataiku explains the three ingredients that turn AI into tangible value: the right people, seamless orchestration, & governance that scales, not slows. Most failures? They're change management problems. Watch on YouTube.

    youtu.be/Dt2ZvjxlRCg?ref=analy

    #AI #BusinessTransformation #Dataiku #AnalysePodcast

  15. Fresh episode! Sophie Dionnet from Dataiku explains the three ingredients that turn AI into tangible value: the right people, seamless orchestration, & governance that scales, not slows. Most failures? They're change management problems. Watch on YouTube.

    youtu.be/Dt2ZvjxlRCg?ref=analy

  16. Fresh episode! Sophie Dionnet from Dataiku explains the three ingredients that turn AI into tangible value: the right people, seamless orchestration, & governance that scales, not slows. Most failures? They're change management problems. Watch on YouTube.

    youtu.be/Dt2ZvjxlRCg?ref=analy

    #AI #BusinessTransformation #Dataiku #AnalysePodcast

  17. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    Reviving a Stalled Digital Transformation

    Have you ever stopped a major transformation initiative because it no longer created business value? What made that decision so difficult, and was it ultimately the right one? #Leadership #DigitalTransformation

    technologytrends60.wordpress.c

  18. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    Reviving a Stalled Digital Transformation

    Have you ever stopped a major transformation initiative because it no longer created business value? What made that decision so difficult, and was it ultimately the right one? #Leadership #DigitalTransformation

    technologytrends60.wordpress.c

  19. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    Reviving a Stalled Digital Transformation

    Have you ever stopped a major transformation initiative because it no longer created business value? What made that decision so difficult, and was it ultimately the right one? #Leadership #DigitalTransformation

    technologytrends60.wordpress.c

  20. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    Reviving a Stalled Digital Transformation

    Have you ever stopped a major transformation initiative because it no longer created business value? What made that decision so difficult, and was it ultimately the right one? #Leadership #DigitalTransformation

    technologytrends60.wordpress.c

  21. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    Reviving a Stalled Digital Transformation

    Have you ever stopped a major transformation initiative because it no longer created business value? What made that decision so difficult, and was it ultimately the right one? #Leadership #DigitalTransformation

    technologytrends60.wordpress.c

  22. 🧠 Our guest @sophiedionnet shares the 3 ingredients for enterprise AI value: People, Orchestration & Governance as a scaling engine.

    A Roche patent lawyer building an AI agent system alone? It’s a story of transformation—not tech. Most failures are change management problems.

    Listen on Spotify: open.spotify.com/episode/5VHvV

    #AnalysePodcast #ArtificialIntelligence #BusinessTransformation #ChangeManagement (500)

  23. 🧠 Our guest @sophiedionnet shares the 3 ingredients for enterprise AI value: People, Orchestration & Governance as a scaling engine.

    A Roche patent lawyer building an AI agent system alone? It’s a story of transformation—not tech. Most failures are change management problems.

    Listen on Spotify: open.spotify.com/episode/5VHvV

    #AnalysePodcast #ArtificialIntelligence #BusinessTransformation #ChangeManagement (500)

  24. 🧠 Our guest @sophiedionnet shares the 3 ingredients for enterprise AI value: People, Orchestration & Governance as a scaling engine.

    A Roche patent lawyer building an AI agent system alone? It’s a story of transformation—not tech. Most failures are change management problems.

    Listen on Spotify: open.spotify.com/episode/5VHvV

    #AnalysePodcast #ArtificialIntelligence #BusinessTransformation #ChangeManagement (500)

  25. 🧠 Our guest @sophiedionnet shares the 3 ingredients for enterprise AI value: People, Orchestration & Governance as a scaling engine.

    A Roche patent lawyer building an AI agent system alone? It’s a story of transformation—not tech. Most failures are change management problems.

    Listen on Spotify: open.spotify.com/episode/5VHvV

    (500)

  26. 🧠 Our guest @sophiedionnet shares the 3 ingredients for enterprise AI value: People, Orchestration & Governance as a scaling engine.

    A Roche patent lawyer building an AI agent system alone? It’s a story of transformation—not tech. Most failures are change management problems.

    Listen on Spotify: open.spotify.com/episode/5VHvV

    #AnalysePodcast #ArtificialIntelligence #BusinessTransformation #ChangeManagement (500)