Universal Context, Open Lakehouse, and Agentic Experiences for Enterprise.
AI agents need more than good models. They need governed, context-rich access to enterprise data, wherever it lives.
Join us for a practical, engineering-first afternoon at Google's Warsaw office. You'll learn how Google Cloud is rearchitecting its data platform around three reinforcing capabilities, and how Xebia's experts translate that into architectures you can apply this quarter.
| Date & Time | 📅 Wednesday, June 17 | 13:00 - 17:00 CEST |
| Location | 📍Google Office, Rondo Ignacego Daszyńskiego 2C, 00-843 Warszawa |
| Format | Keynotes + Q&A + Networking |
Who should attend:
The event is designed for:
- CTO/Head of Data/Engineering Managers planning data platform modernization and looking for a clear AI-ready architecture strategy
- Data Architects & Tech Leads responsible for scalability, governance, cost efficiency, and multi-cloud design
- Data Engineers & Analytics Engineers working with pipelines, dbt, orchestration, and data quality in production
- Data Platform / DataOps / Cloud Engineers building or migrating to a lakehouse or warehouse architecture on Google Cloud
- AI/ML Engineers & Applied AI teams building RAG pipelines, agentic workflows, or enterprise AI applications on top of BigQuery
What you'll learn:
The event covers three interconnected themes that together form the foundation of an enterprise-ready agentic data platform:
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Open Cross-Cloud Lakehouse - how to build a secure, governed data lakehouse using Apache Iceberg that spans AWS, Azure, and Google Cloud — enabling unified access without lock-in.
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Universal Context with Knowledge Catalog - how Google Cloud's Knowledge Catalog acts as a universal context engine — enriching your entire data estate with metadata, governance, business semantics, and discoverability.
- Agentic Experiences: Data Agent Kit & BigQuery Conversational Analytics - how Data Agent Kit and BigQuery Conversational Analytics bring this governed, semantically-rich foundation into practical agentic workflows — letting data practitioners and analysts work in natural language without sacrificing control or lineage.
- Google Gemini, New Products & Hardware - a direct update from Google on the latest Gemini capabilities, newly released Google Cloud products, and hardware innovations shaping the future of enterprise AI infrastructure.
Speakers:
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Marek Wiewiórka Chief Data Architect, Xebia |
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Detailed Agenda TBD soon:
Register now!
Register now to secure your spot and get the practical blueprints, patterns, and examples you can apply immediately.