In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
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In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
102. Low-Code Development with the Evolving Power Platform and AI Tools - with Keith Atherton
Betatalks the podcast
36 minutes
11 months ago
102. Low-Code Development with the Evolving Power Platform and AI Tools - with Keith Atherton
In this episode, we talk with Keith, a Microsoft MVP, MCT, Power Platform solutions architect, international speaker, and much more. We discuss his professional work and community involvement. Keith shares how he collaborates with customers to design and build solutions using the evolving Power Platform. We explore the platform's maturity, including improvements in source control and the blending of citizen and professional developers. Keith also highlights the role of AI tools in bridging th...
Betatalks the podcast
In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...