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Jeffrey Palermo에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jeffrey Palermo 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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Greg Leonardo: Azure and AI - Episode 369

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Manage episode 509060868 series 3541978
Jeffrey Palermo에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jeffrey Palermo 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.

Greg Leonardo is a Principal Cloud Architect, Certified Azure Solution Architect Expert, and Microsoft Azure MVP with over two decades of experience driving high-impact cloud transformations for global enterprises. Greg’s work sits at the crossroads of architecture, innovation, and mentorship, where he crafts scalable, cost-efficient, and future-ready solutions that align technology with business strategy. He’s a recognized authority in Azure-native architecture, FinOps optimization, and AI integration, known for delivering measurable results—from reducing cloud spend to accelerating DevOps agility through Terraform and infrastructure as code. His leadership extends beyond technical execution, as he actively cultivates cloud talent and fosters a culture of continuous improvement. A former Gulf War veteran, Greg brings discipline, resilience, and strategic foresight to every initiative — whether building global cloud ecosystems or leading high-performance engineering teams. He’s also a passionate advocate for the cloud community, sharing insights daily through technical writing and open mentorship.

Topics of Discussion:

[5:46] Greg discusses his approach to AI, emphasizing responsible AI and the importance of understanding its limitations.

[8:12] AI’s journey through the Hype Cycle.

[11:09] Greg introduces the concept of AI as “virtual employees.”

[16:44] Greg talks about how he uses both Microsoft 365 Copilot and ChatGPT Enterprise to compare their capabilities.

[18:36] How Greg tests and compares AI tools.

[20:21] Comparing AI to previous search and research methods.

[23:31] Improving AI results through better prompts.

[26:17] The agent framework, sharing, and limitations of AI agents.

[36:47] AI’s ability to generate architectural diagrams.

[41:49] Exploring autonomous coding agents.

[41:45] Why we aren’t quite ready for the “fire and forget” side.

[43:08] Struggling with the memory behind chat.

[44:02] Closing thoughts — what can we expect in the future, and what are more practical applications of AI?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

Gregory Leonardo LinkedIn

Greg Leonardo Website

Ep 326 with Greg Leonardo: The Latest in Azure

Ep 282 with Greg Leonardo: Optimizing Cloud Budgets

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

  continue reading

372 에피소드

Artwork
icon공유
 
Manage episode 509060868 series 3541978
Jeffrey Palermo에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jeffrey Palermo 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.

Greg Leonardo is a Principal Cloud Architect, Certified Azure Solution Architect Expert, and Microsoft Azure MVP with over two decades of experience driving high-impact cloud transformations for global enterprises. Greg’s work sits at the crossroads of architecture, innovation, and mentorship, where he crafts scalable, cost-efficient, and future-ready solutions that align technology with business strategy. He’s a recognized authority in Azure-native architecture, FinOps optimization, and AI integration, known for delivering measurable results—from reducing cloud spend to accelerating DevOps agility through Terraform and infrastructure as code. His leadership extends beyond technical execution, as he actively cultivates cloud talent and fosters a culture of continuous improvement. A former Gulf War veteran, Greg brings discipline, resilience, and strategic foresight to every initiative — whether building global cloud ecosystems or leading high-performance engineering teams. He’s also a passionate advocate for the cloud community, sharing insights daily through technical writing and open mentorship.

Topics of Discussion:

[5:46] Greg discusses his approach to AI, emphasizing responsible AI and the importance of understanding its limitations.

[8:12] AI’s journey through the Hype Cycle.

[11:09] Greg introduces the concept of AI as “virtual employees.”

[16:44] Greg talks about how he uses both Microsoft 365 Copilot and ChatGPT Enterprise to compare their capabilities.

[18:36] How Greg tests and compares AI tools.

[20:21] Comparing AI to previous search and research methods.

[23:31] Improving AI results through better prompts.

[26:17] The agent framework, sharing, and limitations of AI agents.

[36:47] AI’s ability to generate architectural diagrams.

[41:49] Exploring autonomous coding agents.

[41:45] Why we aren’t quite ready for the “fire and forget” side.

[43:08] Struggling with the memory behind chat.

[44:02] Closing thoughts — what can we expect in the future, and what are more practical applications of AI?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

Gregory Leonardo LinkedIn

Greg Leonardo Website

Ep 326 with Greg Leonardo: The Latest in Azure

Ep 282 with Greg Leonardo: Optimizing Cloud Budgets

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

  continue reading

372 에피소드

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