Building AI Archaeology Platform with .NET, Durable Workflows & Multi-Agent Systems
Featuring: Divakar Kumar, Katie Savage, Cam Soper #dotnet #dotnetdeveloper
Divakar Kumar introduces Archaios, an AI-powered exploration platform designed to help archaeologists analyze massive LiDAR datasets and uncover hidden historical sites. In this episode, he demonstrates how modern .NET technologies—such as Azure Durable Functions, event-driven architectures, and Semantic Kernel agents—can orchestrate scalable processing pipelines and enable collaborative AI reasoning. The system integrates LiDAR analysis, satellite data from Google Earth Engine, and a multi-agent AI workflow that simulates expert discussions between terrain, environmental, and archaeology specialists. Viewers will see how .NET can power real-world AI applications that combine cloud scalability, domain expertise, and intelligent automation.
Featuring: Divakar Kumar, Katie Savage, Cam Soper #dotnet #dotnetdeveloper
Divakar Kumar introduces Archaios, an AI-powered exploration platform designed to help archaeologists analyze massive LiDAR datasets and uncover hidden historical sites. In this episode, he demonstrates how modern .NET technologies—such as Azure Durable Functions, event-driven architectures, and Semantic Kernel agents—can orchestrate scalable processing pipelines and enable collaborative AI reasoning. The system integrates LiDAR analysis, satellite data from Google Earth Engine, and a multi-agent AI workflow that simulates expert discussions between terrain, environmental, and archaeology specialists. Viewers will see how .NET can power real-world AI applications that combine cloud scalability, domain expertise, and intelligent automation.
Featuring: Daniel Roth, Javier Calvarro Nelson, Yanislav Ivanov #dotnet #aspnetcore #blazor
Yanislav Ivanov from Telerik joins us to show how Blazor components use WebMCP to expose actions directly to AI agents, enabling natural language prompts to drive real UI interactions.
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