.NET Rocks! Agentic AI in .NET with Spencer Schneidenbach
Apr 10, 2025
In this discussion, Spencer Schneidenbach, a Microsoft MVP and CTO of Aviron Software, shares his expertise on integrating large language models in healthcare applications. He elaborates on using AI to improve customer interactions by summarizing conversations and analyzing sentiments. The chat touches on Microsoft's Semantic Kernel, which simplifies connecting AI to APIs. Additionally, Spencer highlights the balance between creativity and consistency in AI responses, emphasizing the necessity of effective prompting and rigorous testing for successful AI implementations.
AI Snips
Chapters
Books
Transcript
Episode notes
Spencer's AI Startup Story
- Spencer was hired as a generative AI lead without prior machine learning or Python experience. - He quickly learned to build an AI chatbot for healthcare customer call analysis using.NET.
Semantic Kernel Bridges AI and.NET
- Microsoft's Semantic Kernel connects OpenAI with.NET easily by exposing callable code functions. - The AI can intelligently decide which function to call based on user requests, increasing flexibility.
AI Detects Implied HIPAA Issues
- LLMs can identify implied concerns like HIPAA violations beyond traditional sentiment analysis. - This enables deeper insights from call transcripts by understanding concepts, not just emotions.
