As organizations accelerate their efforts to operationalize AI, data leaders are rethinking the foundations of their data platforms. Many are exploring how the Data Vault can enable trust, adaptability, and speed while preparing their architectures today for the demands of AI in the future.
In this interactive roundtable, WhereScape convenes a panel of industry experts and practitioners to share the latest market observations shaping data architecture strategy. The discussion will explore what customers are asking for as they modernize their warehouses for AI, which new technologies are transforming data delivery, and how automation continues to evolve as a critical success factor for scaling Data Vault implementations.
You will learn:
- Key trends and market forces driving data warehouse modernization in the age of AI
- What data leaders are prioritizing when adapting their data warehouses for AI and machine learning workloads
- How the consistent and repeatable design of Data Vault helps in creating a successful foundation for AI
- Emerging technologies and platform choices shaping Data Vault architecture strategies
- Examples of how automation is being successfully used to accelerate AI-ready Data Vault delivery
Join WhereScape and leaders from the global Data Vault community for a forward-looking conversation on building the modern data foundation that AI depends on; one that is trusted, scalable, and built to adapt.
Moderator:
- Duan Uys – Senior Solutions Architect, WhereScape
Panelists:
- Dan Linstedt – Founder, Data Vault Alliance
- Antti Kajala – CIO, WiseDigi
- Christopher Siegfried, – Senior Consultant, 7Rivers
- Paul Watson-Gover – Senior Solutions Architect, WhereScape
