AI DevOps Podcast

Greg is a Cloud Architect that assists organizations with cloud adoption and innovation and is currently a Public Cloud Architect at AT&T. He has been working in the IT industry since his time in the military and is a developer, teacher, speaker, and early adopter. Greg has worked in many facets of IT throughout his career and is currently the president of TampaDev, a community meetup that runs #TampaCC and various technology events throughout Tampa. Greg holds a certification as a Microsoft Certified Azure Solutions Architect Expert, and Microsoft Certified Trainer, and is an Azure MVP.

Topics of Discussion:

[3:01] Greg talks about being a military veteran from the first Gulf War and then transitioning into the technology arena.

[3:33] Giving back to the veteran community.

[6:04] Is AI inherently irresponsible?

[6:30] Greg defines responsible AI.

[7:02] Thinking about AI as your personal assistant, but only presenting you with the facts.

[8:53] The difference between the public models set out by the big companies, and the other aspect of creating your own model by choosing your own set of data using the GPT technology to analyze that data.

[16:43] Hallucinations in AI and GPT models.

[17:10] What is actionable right now for developers when they are designing it so that we can have some safeguards built in?

[21:55] The difference between fact and affirmation.

[23:41] The system shouldn't just give us what we want, but it should be able to route that want into something that's factual.

[33:10] The design process for developers that want to create their own model.

[37:11] Does Greg have any Chat GPT models?

Mentioned in this Episodes:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Architect Forum

"Architecting For Azure with Greg Leonardo"

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Greg is a Cloud Architect that assists organizations with cloud adoption and innovation and is currently a Public Cloud Architect at AT&T. He has been working in the IT industry since his time in the military and is a developer, teacher, speaker, and early adopter. Greg has worked in many facets of IT throughout his career and is currently the president of TampaDev, a community meetup that runs #TampaCC and various technology events throughout Tampa. Greg holds a certification as a Microsoft Certified Azure Solutions Architect Expert, and Microsoft Certified Trainer, and is an Azure MVP.

Topics of Discussion:

[3:01] Greg talks about being a military veteran from the first Gulf War and then transitioning into the technology arena.

[3:33] Giving back to the veteran community.

[6:04] Is AI inherently irresponsible?

[6:30] Greg defines responsible AI.

[7:02] Thinking about AI as your personal assistant, but only presenting you with the facts.

[8:53] The difference between the public models set out by the big companies, and the other aspect of creating your own model by choosing your own set of data using the GPT technology to analyze that data.

[16:43] Hallucinations in AI and GPT models.

[17:10] What is actionable right now for developers when they are designing it so that we can have some safeguards built in?

[21:55] The difference between fact and affirmation.

[23:41] The system shouldn't just give us what we want, but it should be able to route that want into something that's factual.

[33:10] The design process for developers that want to create their own model.

[37:11] Does Greg have any Chat GPT models?

Mentioned in this Episodes:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Architect Forum

"Architecting For Azure with Greg Leonardo"

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Matthew Renze is a data science consultant, author, and public speaker. He is the founder of Renze Consulting, an AI consulting company that has trained over 500,000 software developers and IT professionals. His clients range from small tech start-ups to Fortune 500 companies. He is also the President of Serenze Global, a 501(c)(3) non-profit organization dedicated to improving access to technology education for under-represented individuals by empowering the next generation of tech community leaders. Matthew is currently working on his Master's degree in Artificial Intelligence with a Data Science specialization at Johns Hopkins University. He currently has double degrees in Computer Science and Philosophy with a minor in Economics from Iowa State University. He is a Microsoft MVP in AI, an ASPinsider, and an author for Pluralsight, Udemy, and Skillshare. His interests include AI, ML, data science, mindfulness, technology education, and tech community leadership.

Topics of Discussion:

[1:41] How Matthew got into software development and eventually AI, rebranding himself as a data scientist and then AI consultant.

[5:40] Matthew is getting his Master's Degree in Artificial Intelligence.

[6:04] How can we demystify AI and all the buzzwords we use?

[9:13] Are there any current products that meet the definition of strong general AI?

[11:03] What does weak general AI mean?

[13:51] For .NET developers, what can they actually do today, with this latest generation of generative AI?

[17:02] What are some examples in AI right now that Matthew has come across that clearly violate any standard of ethical boundary?

[19:00] A few of the issues with AI currently or ways that AI systems are being abused:

• AI hallucination

• AI-generated misinformation

• Algorithmic bias and discrimination

• Lack of trust in AI

• Recommendation engines (rabbit holes)

• Lack of basic AI literacy

[22:00] Is it even possible for these models not to be biased?

[22:35] We have to make sure that we've got balanced data sets in order to get the models to train properly.

[25:41] How do we regulate ethics?

[27:55] The distinction between using supervised learning, and then self-supervised learning, or reinforcement learning.

[39:20] How we can prevent deep fake videos.

[42:01] It's important to get these tools in the hands of the right people, provide education, and move forward mindfully.

[47:02] Curating your own algorithm and handling information overload.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Architect Forum

Matthew Renze Developing Your AI Strategy

Matthew's Website

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Matthew Renze is a data science consultant, author, and public speaker. He is the founder of Renze Consulting, an AI consulting company that has trained over 500,000 software developers and IT professionals. His clients range from small tech start-ups to Fortune 500 companies. He is also the President of Serenze Global, a 501(c)(3) non-profit organization dedicated to improving access to technology education for under-represented individuals by empowering the next generation of tech community leaders. Matthew is currently working on his Master's degree in Artificial Intelligence with a Data Science specialization at Johns Hopkins University. He currently has double degrees in Computer Science and Philosophy with a minor in Economics from Iowa State University. He is a Microsoft MVP in AI, an ASPinsider, and an author for Pluralsight, Udemy, and Skillshare. His interests include AI, ML, data science, mindfulness, technology education, and tech community leadership.

Topics of Discussion:

[1:41] How Matthew got into software development and eventually AI, rebranding himself as a data scientist and then AI consultant.

[5:40] Matthew is getting his Master's Degree in Artificial Intelligence.

[6:04] How can we demystify AI and all the buzzwords we use?

[9:13] Are there any current products that meet the definition of strong general AI?

[11:03] What does weak general AI mean?

[13:51] For .NET developers, what can they actually do today, with this latest generation of generative AI?

[17:02] What are some examples in AI right now that Matthew has come across that clearly violate any standard of ethical boundary?

[19:00] A few of the issues with AI currently or ways that AI systems are being abused:

• AI hallucination

• AI-generated misinformation

• Algorithmic bias and discrimination

• Lack of trust in AI

• Recommendation engines (rabbit holes)

• Lack of basic AI literacy

[22:00] Is it even possible for these models not to be biased?

[22:35] We have to make sure that we've got balanced data sets in order to get the models to train properly.

[25:41] How do we regulate ethics?

[27:55] The distinction between using supervised learning, and then self-supervised learning, or reinforcement learning.

[39:20] How we can prevent deep fake videos.

[42:01] It's important to get these tools in the hands of the right people, provide education, and move forward mindfully.

[47:02] Curating your own algorithm and handling information overload.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Architect Forum

Matthew Renze Developing Your AI Strategy

Matthew's Website

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Sagar Lad is a Technical Solution Architect with a leading multinational software company and has deep expertise in implementing Data & Analytics solutions for large enterprises using Cloud and Artificial Intelligence. He is an experienced Azure Platform evangelist with 9+ Years of IT experience and a strong focus on driving cloud adoption for enterprise organizations using Microsoft Cloud Solutions & Offerings. He loves blogging and is an active blogger on Medium, LinkedIn, and the C# Corner developer community. He was awarded the C# Corner MVP in September 2021 for his contributions to the developer community. He's also the author of three books, Mastering Databricks Lakehouse Platform, Azure Security for Critical Workloads, and Hands-On Azure Data Platform.

Topics of Discussion:

[2:57] Sagar talks about the critical points in his career that led him to technology.

[6:01] What turned Sagar on to a love of data?

[8:39] With so much technical jargon out there, how do you simplify?

[12:40] What is Data Lakehouse?

[13:25] What are some common scenarios where Data Lakehouse can be really valuable?

[18:53] What does unit testing mean in the data bricks world?

[22:10] How long does it take to run the tests in Azure?

[25:42] What's the most expensive Databricks environment that Sagar has seen on a monthly basis?

[27:54] What are some of the things that are being missed around the industry?

[31:42] Sagar says that when we talk about security, there are seven layers.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Clear Measure Architect Forum

Sagar Lad books on Amazon

Certifications: Sagar Lad on Credly

LinkedIn: Sagar Lad on LinkedIn

Twitter: @AzureSagar (Twitter: Sagar Lad)

Medium: Sagar Lad on Medium

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Sagar Lad is a Technical Solution Architect with a leading multinational software company and has deep expertise in implementing Data & Analytics solutions for large enterprises using Cloud and Artificial Intelligence. He is an experienced Azure Platform evangelist with 9+ Years of IT experience and a strong focus on driving cloud adoption for enterprise organizations using Microsoft Cloud Solutions & Offerings. He loves blogging and is an active blogger on Medium, LinkedIn, and the C# Corner developer community. He was awarded the C# Corner MVP in September 2021 for his contributions to the developer community. He's also the author of three books, Mastering Databricks Lakehouse Platform, Azure Security for Critical Workloads, and Hands-On Azure Data Platform.

Topics of Discussion:

[2:57] Sagar talks about the critical points in his career that led him to technology.

[6:01] What turned Sagar on to a love of data?

[8:39] With so much technical jargon out there, how do you simplify?

[12:40] What is Data Lakehouse?

[13:25] What are some common scenarios where Data Lakehouse can be really valuable?

[18:53] What does unit testing mean in the data bricks world?

[22:10] How long does it take to run the tests in Azure?

[25:42] What's the most expensive Databricks environment that Sagar has seen on a monthly basis?

[27:54] What are some of the things that are being missed around the industry?

[31:42] Sagar says that when we talk about security, there are seven layers.

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Clear Measure Architect Forum

Sagar Lad books on Amazon

Certifications: Sagar Lad on Credly

LinkedIn: Sagar Lad on LinkedIn

Twitter: @AzureSagar (Twitter: Sagar Lad)

Medium: Sagar Lad on Medium

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

René is a Principal Cloud Solution Architect - Engineering (CSA-E) and technical lead for Azure DevOps and software development processes at Microsoft in Germany. In his role as CE, he helps customers adopt good development practices and processes as well as understanding the principles of DevOps. As an Azure DevOps expert, René trains customers in using the DevOps toolchain and shows ways to integrate Azure DevOps into existing heterogeneous environments.

Before his start at Microsoft in late 2008, René had been working as a developer of enterprise logistic systems for almost ten years.

Topics of Discussion:

[3:05] René's start of his career and how he got into programming.

[5:20] How does René define the real difference between the 1990s waterfall mindset and the agile mindset, just from a process perspective?

[7:49] How DevOps is an evolution of Agile.

[9:13] What is DevOps all about?

[11:29] The three ways of DevOps as described in The Phoenix Project:

1. Maximize flow or system thinking.

2. Amplify feedback loops.

3. The culture of continuous experimentation and learning.

[16:52] The importance of creating a natural cadence in your iteration.

[17:16] What's the best way to standardize across different teams?

[21:13] Choosing the right tool at the right point in time.

[24:10] What type of test automation does René find himself recommending?

[27:50] To René, the most important thing is to get your code right. In addition, unit testing also has a very positive impact on your architecture and design because you're building a testable product.

[28:50] What is Rene's view on open telemetry in a DevOps mindset?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Clear Measure Architect Forum

The Phoenix Project book: A Novel about IT, DevOps, and Helping Your Business Win, by Gene Kim, Kevin Behr, and George Spafford

Test-driven development: By Example, by Kent Beck

Extreme Programming Explained: Embrace Change, by Kent Beck and Cynthia Andres

The Unicorn Project: A Novel about Developers, Digital Disruption, and Thriving in the Age of Data, by Gene Kim

The Mythical Man-Month: Essays on Software Engineering, by Frederick Brooks Jr.

The Art of Unit Testing: With examples in JavaScript, by Roy Osherove

Site Reliability Engineering: How Google Runs Production Systems, by Jennifer Petoff, Niall Murphy, Betsy Beyer, and Chris Jones

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

René is a Principal Cloud Solution Architect - Engineering (CSA-E) and technical lead for Azure DevOps and software development processes at Microsoft in Germany. In his role as CE, he helps customers adopt good development practices and processes as well as understanding the principles of DevOps. As an Azure DevOps expert, René trains customers in using the DevOps toolchain and shows ways to integrate Azure DevOps into existing heterogeneous environments.

Before his start at Microsoft in late 2008, René had been working as a developer of enterprise logistic systems for almost ten years.

Topics of Discussion:

[3:05] Ren�'s start of his career and how he got into programming.

[5:20] How does René define the real difference between the 1990s waterfall mindset and the agile mindset, just from a process perspective?

[7:49] How DevOps is an evolution of Agile.

[9:13] What is DevOps all about?

[11:29] The three ways of DevOps as described in The Phoenix Project:

1. Maximize flow or system thinking.

2. Amplify feedback loops.

3. The culture of continuous experimentation and learning.

[16:52] The importance of creating a natural cadence in your iteration.

[17:16] What's the best way to standardize across different teams?

[21:13] Choosing the right tool at the right point in time.

[24:10] What type of test automation does René find himself recommending?

[27:50] To René, the most important thing is to get your code right. In addition, unit testing also has a very positive impact on your architecture and design because you're building a testable product.

[28:50] What is Rene's view on open telemetry in a DevOps mindset?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

.NET

Clear Measure Architect Forum

The Phoenix Project book: A Novel about IT, DevOps, and Helping Your Business Win, by Gene Kim, Kevin Behr, and George Spafford

Test-driven development: By Example, by Kent Beck

Extreme Programming Explained: Embrace Change, by Kent Beck and Cynthia Andres

The Unicorn Project: A Novel about Developers, Digital Disruption, and Thriving in the Age of Data, by Gene Kim

The Mythical Man-Month: Essays on Software Engineering, by Frederick Brooks Jr.

The Art of Unit Testing: With examples in JavaScript, by Roy Osherove

Site Reliability Engineering: How Google Runs Production Systems, by Jennifer Petoff, Niall Murphy, Betsy Beyer, and Chris Jones

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Toi B. Wright is an independent consultant who has been working as a software developer for over 25 years. She has a BS in Computer Science and Engineering from the Massachusetts Institute of Technology and an MBA from Carnegie Mellon University. She has been a Microsoft MVP in ASP/ASP.NET since 2005. She is also an ASPInsider. Ms. Wright is the author of two editions of Blazor WebAssembly by Example: A project-based guide to building web apps with .NET, Blazor WebAssembly, and C#. She is also the author of other .NET books and training courses.

Ms. Wright was the organizer of the original We Are Microsoft — Charity Challenge Weekend, www.wearemicrosoft.com, which was the precursor to Give Camps Everywhere. She is the Founder of the Dallas ASP.NET User Group, www.dallasasp.net. She has been involved with various user groups around Dallas since 1994 and has been running one or more user groups since 2000. She most recently helped organize the new Geeks in Pink group. This group supports women in technology.

Topics of Discussion:

[3:46] What got Toi into web development?

[8:17] What inspired Toi to write a book, and what is it about this version of Blazor web application technology on top of .NET that just that really captivated her?

[10:54] What's new in the second version of Blazor web assembly?

[13:21] What can people expect now, using Visual Studio and debugging with Blazor WebAssembly?

[15:01] Are there specific things that are in a Blazor project that people need to think about when it comes to secure web applications?

[17:34] Does Toi know the state of the component vendors out there for web assembly? And do all those components work in the web Assembly version?

[20:10] What is Toi's favorite hosting model?

[22:59] More about Blazor Unity, and what Toi is excited about most for the future.

[28:15] What does Toi think the "normal" .NET application is going to be with all of these choices?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

Toi Wright

Toi on Twitter

Blazor WebAssembly By Example: Use practical projects to start building web apps with .NET 7, Blazor WebAssembly, and C#, 2nd Edition

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.

Toi B. Wright is an independent consultant who has been working as a software developer for over 25 years. She has a BS in Computer Science and Engineering from the Massachusetts Institute of Technology and an MBA from Carnegie Mellon University. She has been a Microsoft MVP in ASP/ASP.NET since 2005. She is also an ASPInsider. Ms. Wright is the author of two editions of Blazor WebAssembly by Example: A project-based guide to building web apps with .NET, Blazor WebAssembly, and C#. She is also the author of other .NET books and training courses.

Ms. Wright was the organizer of the original We Are Microsoft — Charity Challenge Weekend, www.wearemicrosoft.com, which was the precursor to Give Camps Everywhere. She is the Founder of the Dallas ASP.NET User Group, www.dallasasp.net. She has been involved with various user groups around Dallas since 1994 and has been running one or more user groups since 2000. She most recently helped organize the new Geeks in Pink group. This group supports women in technology.

Topics of Discussion:

[3:46] What got Toi into web development?

[8:17] What inspired Toi to write a book, and what is it about this version of Blazor web application technology on top of .NET that just that really captivated her?

[10:54] What's new in the second version of Blazor web assembly?

[13:21] What can people expect now, using Visual Studio and debugging with Blazor WebAssembly?

[15:01] Are there specific things that are in a Blazor project that people need to think about when it comes to secure web applications?

[17:34] Does Toi know the state of the component vendors out there for web assembly? And do all those components work in the web Assembly version?

[20:10] What is Toi's favorite hosting model?

[22:59] More about Blazor Unity, and what Toi is excited about most for the future.

[28:15] What does Toi think the "normal" .NET application is going to be with all of these choices?

Mentioned in this Episode:

Clear Measure Way

Architect Forum

Software Engineer Forum

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

Clear Measure, Inc. (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

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

Architect Tips — Video podcast!

Azure DevOps

Toi Wright

Toi on Twitter

Blazor WebAssembly By Example: Use practical projects to start building web apps with .NET 7, Blazor WebAssembly, and C#, 2nd Edition

Want to Learn More?

Visit AzureDevOps.Show for show notes and additional episodes.