A quick set of real-world perspectives on how leading practitioners are approaching agentic AI, metadata, and master data in modern data platforms.
1) Data Leader Panel Discussion (Celus.io, Europace AG, Informatica)
What this adds to Step 7 (innovation while running): how organizations are adapting architecture and teams for an agentic future without overcommitting to rigid platforms.
Highlights
- Open + adaptive architectures win: moving away from closed stacks toward interoperable, modular platforms built on open source and cloud services.
- AI for engineering + design: agentic approaches can compress cycles by automating interpretation of specs, design generation, and validation.
- Metadata + master data are non-negotiable: rich semantics and clear definitions become the “map” agents depend on.
- Bridge business and tech: enterprise architecture, data architecture, and business strategy must be linked to avoid underusing new capabilities.
- Skills are converging: software, data, and AI responsibilities are blending, with governance shifting toward enablement.
- Design for adaptability: open standards, APIs, and modular components keep options open as patterns evolve.
2) Keynote: Master Data + Meta Data Management — The Key Towards Your AI Success Siddharth Rajagopal (Informatica)
Core message: AI success depends on strong data foundations, especially metadata and master data.
Metadata (meaning + context)
- Should include more than technical fields: business terms, critical processes, operational activity, usage logs across databases, streaming systems, and AI agents.
- Evolves from compliance/manual collection → business context + lineage + observability → GenAI-powered, living knowledge graphs.
Master data (what matters most)
- Captures essential business entities (like customer, product), evolving from manual/batch → multi-domain + real-time, spanning operational and analytical use cases.
- Governance becomes integral, and AI can support more adaptive, self-healing workflows.
Why combining them matters for agentic AI
- Metadata provides clarity and navigation.