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#enterprise-ai — Public Fediverse posts

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

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  1. 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: youtube.com/shorts/Rh2kZ4P_ib4

    #EnterpriseAI #ChangeManagement #Dataiku #AI

  2. 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: youtube.com/shorts/Rh2kZ4P_ib4

  3. Only 2% of Singapore organisations are confident they can withstand cyberattacks accelerated by frontier artificial intelligence models.

    Source: Frontier Enterprise
    frontier-enterprise.com/only-2

    #EnterpriseAI

  4. AI is speeding up exploits and vulnerability spreadsheets can't keep up, according to recent analysis.

    Source: The New Stack
    thenewstack.io/cve-vulnerabili

    #EnterpriseAI

  5. AI has disrupted software economics because heavy usage of AI products costs vendors money while invoices remain fixed.

    Source: The Next Web
    thenextweb.com/news/vayu-reven

    #EnterpriseAI

  6. A hospital giant and radiology network hired Palantir to streamline scheduling, but nurses and other staff say the new software is causing errors, burnout and frustration.

    Source: WIRED
    wired.com/story/healthcare-wor

    #EnterpriseAI

  7. BMW announced it will cut 20 percent of senior management positions using artificial intelligence by mid-2027. The company said the reductions will later extend to frontline staff.

    Source: DigiTimes Asia
    digitimes.com/news/a20261002PD

    #EnterpriseAI

  8. Zhou Yuxiang hired food delivery riders from Meituan and Ele.me as salespeople for Black Lake Technologies after traditional software professionals failed to access factories.

    Source: Fortune
    fortune.com/2026/10/02/black-l

    #EnterpriseAI

  9. Most companies lock down AI governance so tight they can only run 2-3 use cases. Then they wonder why they can't scale.

    Sophie Dionnet explains the critical mistake: supervising the model itself, not just the outputs. Watch how one quantitative equity incident revealed why enterprise AI trust starts with governance architecture.

    Watch on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai

  10. Most companies lock down AI governance so tight they can only run 2-3 use cases. Then they wonder why they can't scale.

    Sophie Dionnet explains the critical mistake: supervising the model itself, not just the outputs. Watch how one quantitative equity incident revealed why enterprise AI trust starts with governance architecture.

    Watch on YouTube: youtube.com/shorts/tnZRW8u5vDQ

  11. Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.

    Source: Techxmedia
    techxmedia.com/en/oracle-launc

    #EnterpriseAI #Oracle

  12. Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.

    Source: Techxmedia
    techxmedia.com/en/oracle-launc

    #EnterpriseAI #Oracle

  13. Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.

    Source: Techxmedia
    techxmedia.com/en/oracle-launc

    #EnterpriseAI #Oracle

  14. Oracle announced Fusion Claw, a governed agentic execution runtime for Oracle Fusion Agentic Applications. The runtime combines AI reasoning with deterministic enterprise computation.

    Source: Techxmedia
    techxmedia.com/en/oracle-launc

    #EnterpriseAI #Oracle

  15. ICYMI: MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  16. ICYMI: MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  17. ICYMI: MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  18. ICYMI: MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  19. 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: youtube.com/shorts/Rh2kZ4P_ib4

    #EnterpriseAI #ChangeManagement #Dataiku #AI

  20. 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: youtube.com/shorts/Rh2kZ4P_ib4

  21. An overhaul led by Apple CEO John Ternus could bring faster product development, fewer management layers, and job cuts.

    Source: Gadgets 360
    gadgets360.com/ai/news/apple-c

    #EnterpriseAI #Apple

  22. An overhaul led by Apple CEO John Ternus could bring faster product development, fewer management layers, and job cuts.

    Source: Gadgets 360
    gadgets360.com/ai/news/apple-c

    #EnterpriseAI #Apple

  23. An overhaul led by Apple CEO John Ternus could bring faster product development, fewer management layers, and job cuts.

    Source: Gadgets 360
    gadgets360.com/ai/news/apple-c

    #EnterpriseAI #Apple

  24. An overhaul led by Apple CEO John Ternus could bring faster product development, fewer management layers, and job cuts.

    Source: Gadgets 360
    gadgets360.com/ai/news/apple-c

    #EnterpriseAI #Apple

  25. One point I did not want to lose in the shorter version: the same controls that appear to slow AI deployment may ultimately be what allows organizations to scale it safely. Trust is not just a compliance outcome; it can become an adoption advantage. The full argument is here: technologytrends60.wordpress.c
    #AIGovernance, #AI, #AISecurity, #AIAgents, #CyberSecurity, #RiskManagement, #EnterpriseAI, #BoardGovernance, #Leadership, #CIO, #DigitalTransformation, #TechnologyLeadership, #BusinessResilience
    stayingalive.in/cataloguing-st

  26. One point I did not want to lose in the shorter version: the same controls that appear to slow AI deployment may ultimately be what allows organizations to scale it safely. Trust is not just a compliance outcome; it can become an adoption advantage. The full argument is here: technologytrends60.wordpress.c
    #AIGovernance, #AI, #AISecurity, #AIAgents, #CyberSecurity, #RiskManagement, #EnterpriseAI, #BoardGovernance, #Leadership, #CIO, #DigitalTransformation, #TechnologyLeadership, #BusinessResilience
    stayingalive.in/cataloguing-st

  27. One point I did not want to lose in the shorter version: the same controls that appear to slow AI deployment may ultimately be what allows organizations to scale it safely. Trust is not just a compliance outcome; it can become an adoption advantage. The full argument is here: technologytrends60.wordpress.c
    #AIGovernance, #AI, #AISecurity, #AIAgents, #CyberSecurity, #RiskManagement, #EnterpriseAI, #BoardGovernance, #Leadership, #CIO, #DigitalTransformation, #TechnologyLeadership, #BusinessResilience
    stayingalive.in/cataloguing-st

  28. One point I did not want to lose in the shorter version: the same controls that appear to slow AI deployment may ultimately be what allows organizations to scale it safely. Trust is not just a compliance outcome; it can become an adoption advantage. The full argument is here: technologytrends60.wordpress.c
    #AIGovernance, #AI, #AISecurity, #AIAgents, #CyberSecurity, #RiskManagement, #EnterpriseAI, #BoardGovernance, #Leadership, #CIO, #DigitalTransformation, #TechnologyLeadership, #BusinessResilience
    stayingalive.in/cataloguing-st

  29. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    The AI Security Paradox.

    AI risk is not just about smarter models. Boards must govern autonomy, access, accountability, and resilience before AI agents scale across the enterprise.

    technologytrends60.wordpress.c

  30. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    The AI Security Paradox.

    AI risk is not just about smarter models. Boards must govern autonomy, access, accountability, and resilience before AI agents scale across the enterprise.

    technologytrends60.wordpress.c

  31. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    The AI Security Paradox.

    AI risk is not just about smarter models. Boards must govern autonomy, access, accountability, and resilience before AI agents scale across the enterprise.

    technologytrends60.wordpress.c

  32. TechnologyTrends @technologytrends60.wordpress.com@technologytrends60.wordpress.com ·

    The AI Security Paradox.

    AI risk is not just about smarter models. Boards must govern autonomy, access, accountability, and resilience before AI agents scale across the enterprise.

    technologytrends60.wordpress.c

  33. MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  34. MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  35. MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  36. MongoDB loses its CEO of 10 months to Meta's new enterprise AI unit: Muse, Business Agent, Muse API and Muse Code are the first tools Meta will package for firms and developers, with no price or date. Where do advertisers fit? ppc.land/mongodb-loses-its-ceo #MongoDB #Meta #AI #EnterpriseAI #TechNews

  37. Meta Platforms announced the formation of a new business unit focused on increasing the use of AI by enterprises. Chirantan Desai will run the operation as chief enterprise platform officer.

    Source: TahawulTech
    tahawultech.com/home-slide/met

    #EnterpriseAI #Meta

  38. Meta Platforms announced the formation of a new business unit focused on increasing the use of AI by enterprises. Chirantan Desai will run the operation as chief enterprise platform officer.

    Source: TahawulTech
    tahawultech.com/home-slide/met

    #EnterpriseAI #Meta

  39. Meta Platforms announced the formation of a new business unit focused on increasing the use of AI by enterprises. Chirantan Desai will run the operation as chief enterprise platform officer.

    Source: TahawulTech
    tahawultech.com/home-slide/met

    #EnterpriseAI #Meta

  40. Meta Platforms announced the formation of a new business unit focused on increasing the use of AI by enterprises. Chirantan Desai will run the operation as chief enterprise platform officer.

    Source: TahawulTech
    tahawultech.com/home-slide/met

    #EnterpriseAI #Meta

  41. Anthropic ends discounts once tokens run out for enterprise customers when they use up the tokens covered by their contracts.

    Source: The Next Web
    thenextweb.com/news/anthropic-

    #EnterpriseAI #Anthropic

  42. Meta announced it is creating a new enterprise AI business and hired MongoDB CEO CJ Desai to lead it as Chief Enterprise Platform Officer reporting to Mark Zuckerberg.

    Source: The New Stack
    thenewstack.io/meta-enterprise

    #EnterpriseAI #Meta #Llama

  43. Meta announced it is creating a new enterprise AI business and hired MongoDB CEO CJ Desai to lead it as Chief Enterprise Platform Officer reporting to Mark Zuckerberg.

    Source: The New Stack
    thenewstack.io/meta-enterprise

    #EnterpriseAI #Meta #Llama

  44. Meta announced it is creating a new enterprise AI business and hired MongoDB CEO CJ Desai to lead it as Chief Enterprise Platform Officer reporting to Mark Zuckerberg.

    Source: The New Stack
    thenewstack.io/meta-enterprise

    #EnterpriseAI #Meta #Llama

  45. Meta announced it is creating a new enterprise AI business and hired MongoDB CEO CJ Desai to lead it as Chief Enterprise Platform Officer reporting to Mark Zuckerberg.

    Source: The New Stack
    thenewstack.io/meta-enterprise

    #EnterpriseAI #Meta #Llama

  46. New episode with @Dataiku's Sophie Dionnet: The 3 ingredients that turn AI into value are people, orchestration, and governance as fuel, not a brake.

    Most failures are change management problems, not tech problems. So, where's the real work? Watch on YouTube for the full talk.

    #AIAnalytics #EnterpriseAI #Dataiku #AnalysePodcast
    youtu.be/Dt2ZvjxlRCg?ref=analy

  47. New episode with @Dataiku's Sophie Dionnet: The 3 ingredients that turn AI into value are people, orchestration, and governance as fuel, not a brake.

    Most failures are change management problems, not tech problems. So, where's the real work? Watch on YouTube for the full talk.


    youtu.be/Dt2ZvjxlRCg?ref=analy

  48. 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

  49. 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

  50. 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

  51. 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

  52. How do you turn AI hype into real business value? Our guest Sophie Dionnet (Dataiku) argues it boils down to three key ingredients: people, orchestration, and governance. She shares how a Roche patent lawyer built an AI agent, & why most failures are change management problems, not tech.

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

    #AI #EnterpriseAI #BusinessTransformation #TechPodcast