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AI Agents: Product, Not Project – Unlocking Compounding Value through Continuous Evolution

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Manage episode 510935274 series 3656088
DataQubi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 DataQubi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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This episode explores the essential mindset shift required for digital transformation: treating AI agents as evolving products, not static, one-time projects. Learn why projects deliver temporary wins while products create compounding value and sustained ROI. The discussion focuses on practical principles like logging unknowns and capturing failures and implementing Feedback Loop Integration to ensure agents grow smarter, more trusted, and aligned with evolving user needs. Embracing iteration prevents stagnation and obsolescence amid rapid model updates

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

  continue reading

32 에피소드

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icon공유
 
Manage episode 510935274 series 3656088
DataQubi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 DataQubi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Send us a text

This episode explores the essential mindset shift required for digital transformation: treating AI agents as evolving products, not static, one-time projects. Learn why projects deliver temporary wins while products create compounding value and sustained ROI. The discussion focuses on practical principles like logging unknowns and capturing failures and implementing Feedback Loop Integration to ensure agents grow smarter, more trusted, and aligned with evolving user needs. Embracing iteration prevents stagnation and obsolescence amid rapid model updates

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

  continue reading

32 에피소드

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