Modern data platforms are evolving faster than most architectures can support.
Organizations are being asked to enable AI, real-time analytics, and rapidly changing business requirements — while maintaining governance, documentation, and architectural consistency.
The challenge is that most data environments were not designed for this level of change.
In this joint panel with WhereScape and ER/Studio, product leaders and enterprise practitioners will explore what a modern data lifecycle looks like in practice — from establishing a semantic backbone through to automated development, deployment, and ongoing evolution.
What You’ll Learn
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Why traditional data development lifecycles struggle in modern environments
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The role of a semantic backbone in supporting architecture, governance, analytics, and AI
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How data modeling connects design, engineering, and governance
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What data product–driven delivery looks like in practice
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Strategies for modernizing existing platforms without disrupting production
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How to design architectures that adapt to change rather than require rebuilds
Speakers
Moderator
- Eric Snyder – GM, WhereScape | Former GM, ER/Studio
Panelists
- Simon Spring – Head of Product, WhereScape
- Jamie Knowles – Head of Product, ER/Studio
- Mark Kramm – Founder & Senior Enterprise Data Architect, Enterprise KnowledgePrints
- Kevin Marshbank – CEO & Principal Consultant, The Data Vault Shop
