World Congress 2025

AI and LLM in .NET: Transforming Big Data Analysis

July 9, 2025 11:00 – 13:00 Β· 120 min M3 (45 Seats)

What this session covers

In a recent large-scale .NET project, we tackled the challenge of analyzing nearly 1 billion records stored in a database. The data encompassed various details about individuals, requiring the system to generate comprehensive reports, including connections and economic scoring. Traditional manual analysis by specialists could take days for a single individual. To overcome this, we implemented an AI-driven solution powered by a Large Language Model (LLM).

After training the model and integrating it into the system, the AI now delivers reports that are up to 80% more accurate than manual reviews. This session will explore our journey in designing, training, and deploying AI in a .NET environment, addressing challenges, optimizing performance, and achieving transformative results.

World Congress 2025

Related talks

Open session

Best practices: Building Enterprise Applications that leverage GenAI

  • Damir

    daenet

    Lead Sofwtare Architect

Open session

How we built an AI-powered code reviewer in 80 hours

  • Yan Cui

    Lumigo

    Developer Advocate

Open session

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact

  • Oliver Will

    Obungi

    Head of AI

Open session

Exploring LLMs across clouds

  • Tomislav TipuriΔ‡

    Nephos

    CTO

All sessions at this congress