- 30 minutes
Building Reliable Data Foundations for AI and Analytics
- Day
- Day 1, Tuesday 23 March 2027
- Time
- to CET
- Tracks
- Data Architecture, Data Engineering, Data Governance
What this session covers
- The data engineering practices required to make enterprise data reliable for analytics, AI and agentic workloads.
- How ownership, data contracts, lineage, quality standards and pipeline monitoring work in production.
- Balancing shared data standards with domain ownership, while maintaining interoperability across platforms and AI systems.
More sessions on day 1
- 09:00AI Investment Decisions: Value, Cost and Board Expectations
- 10:00The Semantic Layer: Consistent Business Context for BI and AI
- 11:00Panel Discussion: The AI Stack Strategy: Concentration Risk, Procurement and European Alternatives
- 11:30Enterprise Retrieval: RAG, Knowledge Graphs and Trusted Context
- 12:00Data Products in Production: Ownership, Reuse, Quality and Lifecycle
- 13:30Token Economics and AI FinOps in Action
- 14:00Panel Discussion: The EU AI Act in Practice: What Applies Now and What Must Be Ready by December 2027
- 14:30Fireside Chat: The 2027 Data & AI Operating Model: Decision Rights and Accountability
Ready to join
Business Intelligence and Analytics Summit 2027
Early bird pricing ends Nov 20, 5:00 PM. Register before then to save up to 50% on your ticket.
- Leadership, Value & AI Economics
- Modern Data Foundations
- Generative & Agentic AI
- Modern BI & Decision Intelligence
- Governance, Risk & Regulation
- AI Infrastructure & Sovereignty