• Data Mesh vs. Data Fabric: Welche Architekturansätze setzen sich durch und wie kombinieren Banken zentrale Steuerung mit dezentralem Data Ownership?

• Self-Service, Datenprodukte und Kataloge: Wie gelingt der Spagat zwischen Nutzerfreundlichkeit, Governance und regulatorischer Nachvollziehbarkeit?

• KI-Readiness: Welche Architekturkomponenten sind entscheidend für den produktiven Einsatz von GenAI und Agentic AI?

• Integration von Cloud-First-Strategien mit Legacy- Systemen: Wie bauen Banken zukunftsfähige hybride Landschaften?

• Lessons Learned: Erfolgreiche Implementierungsbeispiele und nächste Evolutionsschritte für hybride Architekturen im Finanzsektor

The establishment of an Enterprise Information Architecture (EIA), also known as a Semantic Layer or Data Fabric, is now recognised as the definitive methodology for delivering high-quality, reliable data applications. Beyond traditional data management, this architecture is instrumental in grounding and optimising AI-enriched applications. This presentation introduces the core components of an EIA and demonstrates how it delivers end-to-end data lineage and provenance. We will explore how this framework ensures regulatory readiness for global financial institutions, with a specific focus on meeting the rigorous demands of BCBS 239 and RDAR auditing.

The establishment of an Enterprise Information Architecture (EIA), also known as a Semantic Layer or Data Fabric, is now recognised as the definitive methodology for delivering high-quality, reliable data applications. Beyond traditional data management, this architecture is instrumental in grounding and optimising AI-enriched applications. This presentation introduces the core components of an EIA and demonstrates how it delivers end-to-end data lineage and provenance. We will explore how this framework ensures regulatory readiness for global financial institutions, with a specific focus on meeting the rigorous demands of BCBS 239 and RDAR auditing.