.NET Rocks! Agentic AI in .NET with Spencer Schneidenbach
Apr 10, 2025
Spencer Schneidenbach, a Microsoft MVP and the president of Aviron Software, dives into the world of agentic AI. He discusses using large language models to improve healthcare customer interactions, from summarizing conversations to identifying sentiments. Spencer highlights the ease of integrating Microsoft's Semantic Kernel with OpenAI models, enhancing API connections. The conversation also explores the challenges of building scalable AI solutions, the importance of effective prompt crafting, and the critical role of user feedback in AI tool development.
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Unexpected AI Leadership
- Spencer was asked to lead generative AI efforts without prior AI or Python experience.
- This challenge sparked his deep involvement with AI in.NET environments.
Semantic Kernel Powers AI Functions
- Semantic Kernel bridges OpenAI with.NET by exposing code as callable functions to the AI.
- This enables the AI to decide which functions to call based on user requests, enhancing flexibility.
LLMs Infer Sensitive Issues
- Using LLMs can detect inferred issues like HIPAA violations beyond direct keyword matching.
- This enables richer analysis of healthcare calls for underlying concerns expressed more subtly.