Building the Data Foundation for a Nation-Wide AI Infrastructure
Donderdag 11:45 - 12:15
Lezingenzaal 4
Yıldırım Umut Doğancı
Senior Solution Architect
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.
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.
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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