A software engineer, who likes to solve problems, both big and small with code. I also have a master's in computer science from University of Copenhagen, where my courses focused primarily on Natural Language Processing, Machine Learning and Information Retrieval.
Since then, I have been working as a .NET Engineer at Microsoft Development Center, where I develop the core server architecture behind Dynamics 365 Business Central.
Hosted session(s)
Business Central ships a standards-compliant Model Context Protocol (MCP) server that lets any MCP client -- Copilot Studio, VS Code, or third-party AI agents -- interact with Business Central data and processes through a unified tool interface. This session covers how to configure and extend the MCP server for your own extensions, connect from different MCP clients, and leverage semantic search and data analysis capabilities through MCP tools.
Business Central now exposes embedding-based semantic search as a first-class AL capability - no exact keyword matching needed. This session covers use cases, how to integrate semantic search into your own AL extensions, performance characteristics, and best practices for choosing between full-text and embedding-based search.