home.social

#enterpriseai — Public Fediverse posts

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

  1. “50% of AI agents fail in production because we don’t know what’s happening.”

    Patrick Kelly shares why silent failures are becoming a real enterprise AI risk — agents ship, but teams can’t see if they’re producing useful output.

    Read/listen at youtube.com/shorts/FNJUNUzbVBY

  2. “50% of AI agents fail in production because we don’t know what’s happening.”

    Patrick Kelly shares why silent failures are becoming a real enterprise AI risk — agents ship, but teams can’t see if they’re producing useful output.

    Read/listen at youtube.com/shorts/FNJUNUzbVBY

    #AnalysePodcast #AIAgents #EnterpriseAI #AIEvaluation

  3. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time.

    microsoft.com/en-us/power-plat

  4. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer

    Closed-loop learning on the Po...

  5. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time.
    #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer
    microsoft.com/en-us/power-plat

  6. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time.
    #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer
    microsoft.com/en-us/power-plat

  7. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer

    Closed-loop learning on the Po...

  8. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer

    Closed-loop learning on the Po...

  9. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time.
    #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer
    microsoft.com/en-us/power-plat

  10. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer

    Closed-loop learning on the Po...

  11. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time.
    #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer
    microsoft.com/en-us/power-plat

  12. Power Apps introduces closed‑loop learning: agents now learn from real user corrections, turning feedback into org‑wide improvements. Less manual fixing, smarter automations, better accuracy over time. #PowerApps #AI #Automation #EnterpriseAI #Copilot #MCPServer

    Closed-loop learning on the Po...

  13. Can enterprises replace costly cloud-hosted models with self-managed, open-weight models to reduce costs? What are the consequences if they don't?

    As promised, my podcast interview with Stephen Watt, a distinguished engineer working on emerging technologies in 's office of the CTO, in which we discuss a wide range of topics, including his team's quest to answer these questions and his outlook on the future of .

    youtube.com/watch?v=XKiq9ReXJvg

  14. Can enterprises replace costly cloud-hosted models with self-managed, open-weight #AI models to reduce #AIinference costs? What are the consequences if they don't?

    As promised, my podcast interview with Stephen Watt, a distinguished engineer working on emerging technologies in #RedHat 's office of the CTO, in which we discuss a wide range of topics, including his team's quest to answer these questions and his outlook on the future of #enterpriseAI. #RHSummit

    youtube.com/watch?v=XKiq9ReXJvg

  15. Can enterprises replace costly cloud-hosted models with self-managed, open-weight #AI models to reduce #AIinference costs? What are the consequences if they don't?

    As promised, my podcast interview with Stephen Watt, a distinguished engineer working on emerging technologies in #RedHat 's office of the CTO, in which we discuss a wide range of topics, including his team's quest to answer these questions and his outlook on the future of #enterpriseAI. #RHSummit

    youtube.com/watch?v=XKiq9ReXJvg

  16. Can enterprises replace costly cloud-hosted models with self-managed, open-weight #AI models to reduce #AIinference costs? What are the consequences if they don't?

    As promised, my podcast interview with Stephen Watt, a distinguished engineer working on emerging technologies in #RedHat 's office of the CTO, in which we discuss a wide range of topics, including his team's quest to answer these questions and his outlook on the future of #enterpriseAI. #RHSummit

    youtube.com/watch?v=XKiq9ReXJvg

  17. Can enterprises replace costly cloud-hosted models with self-managed, open-weight #AI models to reduce #AIinference costs? What are the consequences if they don't?

    As promised, my podcast interview with Stephen Watt, a distinguished engineer working on emerging technologies in #RedHat 's office of the CTO, in which we discuss a wide range of topics, including his team's quest to answer these questions and his outlook on the future of #enterpriseAI. #RHSummit

    youtube.com/watch?v=XKiq9ReXJvg

  18. Microsoft Research warns AI agents still struggle with long autonomous workflows.

    Researchers found frontier models corrupted documents, lost critical context, and degraded content quality over multi-step tasks - with agentic tooling often worsening outcomes.

    Human oversight still appears essential.

    Source: techstrong.ai/articles/microso

    Follow @technadu for more AI and cybersecurity updates.

    #AI #LLMs #EnterpriseAI #InfoSec

  19. Microsoft Research warns AI agents still struggle with long autonomous workflows.

    Researchers found frontier models corrupted documents, lost critical context, and degraded content quality over multi-step tasks - with agentic tooling often worsening outcomes.

    Human oversight still appears essential.

    Source: techstrong.ai/articles/microso

    Follow @technadu for more AI and cybersecurity updates.

    #AI #LLMs #EnterpriseAI #InfoSec

  20. Microsoft Research warns AI agents still struggle with long autonomous workflows.

    Researchers found frontier models corrupted documents, lost critical context, and degraded content quality over multi-step tasks - with agentic tooling often worsening outcomes.

    Human oversight still appears essential.

    Source: techstrong.ai/articles/microso

    Follow @technadu for more AI and cybersecurity updates.

    #AI #LLMs #EnterpriseAI #InfoSec

  21. Microsoft Research warns AI agents still struggle with long autonomous workflows.

    Researchers found frontier models corrupted documents, lost critical context, and degraded content quality over multi-step tasks - with agentic tooling often worsening outcomes.

    Human oversight still appears essential.

    Source: techstrong.ai/articles/microso

    Follow @technadu for more AI and cybersecurity updates.

    #AI #LLMs #EnterpriseAI #InfoSec

  22. Chief AI Officer: Why 76% of Companies Now Have a CAIO in 2026

    IBM’s 2026 CEO Study of 2,000 global CEOs found 76% of organizations now have a Chief AI Officer — nearly tripling from 26% in 2025. Here is what the role covers, th...

    wowhow.cloud/blogs/chief-ai-of

    #wowhow #chiefAIofficer #CAIO #enterpriseAI