Artwork

Content provided by Jeffrey Palermo. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeffrey Palermo or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Scott Nichols: Azure AI Foundry - Episode 338

40:40
 
Share
 

Manage episode 468189974 series 2446935
Content provided by Jeffrey Palermo. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeffrey Palermo or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Scott Nichols is a Principal Cloud Solutions Architect at Microsoft. He works for the commercial enterprise division serving the high-tech division out of Silicon Valley. He is also the leader of the .NET and the Azure user groups in Boise, Idaho. He started his career in the IT profession in 1993 as a mainframe and web developer. Since then, he has served as a Lead Software Engineer/Solution Architect, a Software Development Engineering Manager, a Sr. Cloud Software Solution Architect, and a Sr. Enterprise Solution Architect. When not at the keyboard, he loves the outdoors hunting, camping, fishing, archery, and working in the yard.

Topics of Discussion:

[4:03] Generative AI’s turning point.

[5:52] Bridging the AI coding gap.

[6:39] Scott explains the shift in project workloads to generative AI-based projects, both customer-facing and internal.

[7:25] Networking companies using AI to analyze telemetry data and create new products.

[8:49] Azure AI Foundry is a web portal that allows developers to spin up Azure Compute and access over 1800 models.

[13:00] Although a “Cloud Guy,” Scott values his on-prem hardware as a playground for learning and experimenting with AI tools.

[15:04] The benefits of using open source or on-prem tools to start working with AI without incurring cloud costs right away.

[15:40] The rapid pace of innovation.

[20:41] An example of Khan Academy using AI to create an online tutor, requiring significant prompt engineering to ensure accurate responses.

[27:12] AI agents monitoring AI agents.

[27:59] AI’s limitations and opportunities.

[31:56] Testing strategies for AI-Integrated systems.

[35:37] The future of AI and how it’s a great time to be in AI.

[39:35] Great advice for the next generation of developers and software engineers.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

Programming with Palermo — New Video Podcast! Email us at [email protected].

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo

The Five Pillars: Leadership For Effective Custom Software, by Jeffrey Palermo

Jeffrey Palermo’s Twitter — Follow to stay informed about future events!

Ep 116 with Scott Nichols

Scott Nichols LinkedIn

Scott Nichols Twitter

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

  continue reading

347 episodes

Artwork
iconShare
 
Manage episode 468189974 series 2446935
Content provided by Jeffrey Palermo. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeffrey Palermo or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Scott Nichols is a Principal Cloud Solutions Architect at Microsoft. He works for the commercial enterprise division serving the high-tech division out of Silicon Valley. He is also the leader of the .NET and the Azure user groups in Boise, Idaho. He started his career in the IT profession in 1993 as a mainframe and web developer. Since then, he has served as a Lead Software Engineer/Solution Architect, a Software Development Engineering Manager, a Sr. Cloud Software Solution Architect, and a Sr. Enterprise Solution Architect. When not at the keyboard, he loves the outdoors hunting, camping, fishing, archery, and working in the yard.

Topics of Discussion:

[4:03] Generative AI’s turning point.

[5:52] Bridging the AI coding gap.

[6:39] Scott explains the shift in project workloads to generative AI-based projects, both customer-facing and internal.

[7:25] Networking companies using AI to analyze telemetry data and create new products.

[8:49] Azure AI Foundry is a web portal that allows developers to spin up Azure Compute and access over 1800 models.

[13:00] Although a “Cloud Guy,” Scott values his on-prem hardware as a playground for learning and experimenting with AI tools.

[15:04] The benefits of using open source or on-prem tools to start working with AI without incurring cloud costs right away.

[15:40] The rapid pace of innovation.

[20:41] An example of Khan Academy using AI to create an online tutor, requiring significant prompt engineering to ensure accurate responses.

[27:12] AI agents monitoring AI agents.

[27:59] AI’s limitations and opportunities.

[31:56] Testing strategies for AI-Integrated systems.

[35:37] The future of AI and how it’s a great time to be in AI.

[39:35] Great advice for the next generation of developers and software engineers.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

Programming with Palermo — New Video Podcast! Email us at [email protected].

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer’s Guide to DevOps Architecture the Right Way, by Jeffrey Palermo

The Five Pillars: Leadership For Effective Custom Software, by Jeffrey Palermo

Jeffrey Palermo’s Twitter — Follow to stay informed about future events!

Ep 116 with Scott Nichols

Scott Nichols LinkedIn

Scott Nichols Twitter

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

  continue reading

347 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play