
Erwin de Kreuk
Proposed Sessions for 2026
Ready to learn how to build your AI foundation? Discover how Microsoft Fabric’s metadata-driven framework, combined with Data Factory pipelines and a Fabric database, powers automated data integration for AI-ready environments. Gain insights on governance, scalability, and accelerating AI-driven analytics.
Master the principles of Data Mesh with Fabric. This session explores building scalable, domain-driven analytics through Lakehouses, Databases & Warehouses. Learn how to structure (business)domains to accelerate the creation of Data Products & empower Agents for decentralized, high-quality insights.
As organizations accelerate their adoption of AI and advanced analytics, securing sensitive data within platforms like Power BI becomes mission-critical. This session explores how Microsoft Purview enables robust Data Loss Prevention (DLP) and Insider Risk Management (IRM) across Power BI and Microsoft Fabric environments. We’ll walk through real-world scenarios where Purview policies help classify, label, and protect sensitive data, prevent oversharing, and detect risky user behavior, especially in AI-driven contexts such as Copilot interactions.
In today’s data-driven world, the accuracy of AI insights depends on the quality of your data. Reliable, well-structured data builds trust, supports business processes, and enables informed decision-making. A robust data platform is key to maintaining consistency and accuracy. By integrating Microsoft Purview Data Quality, organizations can assess and monitor data quality with ease. This solution offers no-code/low-code rules, including out-of-the-box and AI-generated options, plus AI-powered profiling that recommends columns for review and allows human refinement for better accuracy.