26 - 28 OCT 2026 Utrecht Netherlands

Data

Turn data into decisions you can trust

Can you trust the data behind a business decision?

The difficult part is knowing whether data is current, secure, accessible and reliable enough to support a real decision. This journey connects the work beneath the dashboard or model to the people who must act on its output.

This journey is for

Data and platform professionals connecting data foundations to real-world decisions.

What you will be able to do

Assess the foundations that make data accessible, secure, scalable and useful for the next use case.

Recommended sessions

Follow the route

Start with the sessions below, then use the full agenda to make the route your own.

  1. Thread by Thread: Lessons from Migrating to Fabric

    Sam Debruyn

    Start with a real Fabric migration story that reached adoption, access control, monitoring and trade-offs.

  2. Building AI-Ready Data Infrastructure at Terabyte Scale with Terraform and Azure

    Florian Lenz

    Build the data foundation deliberately before scale exposes the gaps.

  3. When AI meets your database: Securing sensitive data in Azure SQL in an AI-driven world

    Pieter Vanhove

    Connect richer data use with the controls required to protect sensitive information.

  4. Developer’s Guide to AI in SQL Server 2025 and Azure SQL

    Leonard Lobel

    Make data usable to the applications and systems that need it.

  5. The Developers Guide to Azure SQL Hyperscale

    Bob Ward

    Understand data-platform choices that keep workloads available and performant at scale.

Optional stops

  1. Rethinking PostgreSQL for AI Apps: Inside Azure HorizonDB

    Bob Ward

    An optional deep dive with Bob Ward into PostgreSQL and AI-ready database capabilities.

  2. LLMs in the Event-Sourced World: Commands, Projections and Sagas

    Oliver Sturm

    Explore how event-sourced systems and LLMs can work together without losing architectural clarity.

Take this back to your team

Make the next conversation more useful.

  1. A better way to assess whether the data foundation is ready for the next use case.
  2. Practical questions about access, scale, platform design and trust in the answers people receive.
  3. A broader view of data work that connects platform choices to real decisions.
View agenda Get your ticket