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Interview: "We are moving from data-driven to value-driven"

Joep Steenbeek | Head of Data Office | City of Amsterdam

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Jessica Ruland | Lead Product Manager | TicketSwap

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September 9 & 10 2025 | Jaarbeurs Utrecht Free ticket For visitors

For visitors

About this edition

About Data Expo

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2026

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Visit Data Expo and achieve your data goals

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Become an exhibitor

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Become a partner

Giving a lecture

Testimonials

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Visitor profile

Contact the specialists

Request a brochure

All the information about exhibiting in one document.

Program

Program

About this edition

Program

Speakers

Giving a lecture

Testimonial speakers

Exhibitor list Blog & Knowledge

Blog & Knowledge

Discover

Blog

Video series

Featured

Women @ Data Expo

Diversity within the tech sector

Interview: "We are moving from data-driven to value-driven"

Joep Steenbeek | Head of Data Office | City of Amsterdam

Blog TicketSwap: "Right now, we are mainly focused on what we need to build"

Jessica Ruland | Lead Product Manager | TicketSwap

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Free ticket
Big Data Expo Vorm F (1) Big Data Expo Vorm E (1)

Building the Data Foundation for a Nation-Wide AI Infrastructure

Thursday 11:45 - 12:15
Lezingenzaal 4
Yıldırım Umut Doğancı

Senior Solution Architect

Linkedin Meer over deze spreker
ORION is HAVELSAN’s Big Data Management Platform, developed to provide organizations with a unified, scalable, and secure foundation for managing large and complex data environments. By bringing together data collection, migration, storage, processing, orchestration, analytics, monitoring, and AI/ML capabilities within a single platform, ORION enables institutions to manage the full data lifecycle more efficiently while reducing operational complexity.

Designed for enterprise-scale and mission-critical environments, ORION combines distributed processing, centralized management, automation, high availability, and on-premises deployment capabilities. This approach allows organizations to maintain control over their data, support data sovereignty requirements, and scale their infrastructure as data volumes, users, and analytical workloads grow.

The presentation also highlights a large-scale public sector implementation where rapidly expanding datasets are consolidated and processed through a centralized architecture built for performance and future growth. Beyond addressing today’s data management needs, this implementation represents a strategic step toward establishing a broader nationwide AI infrastructure. By creating a reliable, scalable, and AI-ready data backbone, ORION can support advanced analytics, new digital services, artificial intelligence applications, and future data-driven public services at national scale.
ORION is HAVELSAN’s Big Data Management Platform, developed to provide organizations with a unified, scalable, and secure foundation for managing large and complex data environments. By bringing together data collection, migration, storage, processing, orchestration, analytics, monitoring, and AI/ML capabilities within a single platform, ORION enables institutions to manage the full data lifecycle more efficiently while reducing operational complexity.

Designed for enterprise-scale and mission-critical environments, ORION combines distributed processing, centralized management, automation, high availability, and on-premises deployment capabilities. This approach allows organizations to maintain control over their data, support data sovereignty requirements, and scale their infrastructure as data volumes, users, and analytical workloads grow.

The presentation also highlights a large-scale public sector implementation where rapidly expanding datasets are consolidated and processed through a centralized architecture built for performance and future growth. Beyond addressing today’s data management needs, this implementation represents a strategic step toward establishing a broader nationwide AI infrastructure. By creating a reliable, scalable, and AI-ready data backbone, ORION can support advanced analytics, new digital services, artificial intelligence applications, and future data-driven public services at national scale.

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