Many organizations talk about modern data platforms.
Far fewer share how they truly got there.

• What legacy was kept — and what was abandoned?
• Which architectural choices really made a difference?
• What trade‑offs were unavoidable?
• What didn’t work as expected?
• And what would they do differently today?

This event creates a neutral, pragmatic comparison space, focused on real modernization trajectories, not theoretical visions.

WHAT YOU WILL GAIN

• A clear comparison of real data platform trajectories (Databricks, Snowflake, Fabric, GCP, AWS, etc.)
• Unfiltered feedback on technical and organizational trade‑offs
• Replicable patterns — what works, what doesn’t, and why
• Concrete insight into the link between platform, governance and value creation
• High‑quality peer‑to‑peer exchanges in a debate‑first format

THE FORMAT (AT A GLANCE)

A dynamic, highly interactive format designed to compare approaches, not stack presentations.

• Moderated thematic panels
• Shared architecture and decision framework
• Short, no‑slide lessons learned
• Final synthesis of key patterns and anti‑patterns
• Curated networking at the end of the session

WHO SHOULD ATTEND?

• CDOs, Heads of Data, Data Platform Owners
• Data & Analytics Architects
• Governance, Data Products, BI or AI Foundation leaders
• Decision‑makers currently evaluating or transforming their data platforms

REGISTRATION

Attendance is limited to preserve the quality of discussion and networking.

👉 Registration subject to validation / invitation