Conference Description
Key Takeaways
- Danish conference examining the transition of public sector AI projects from pilot phases to full-scale operational deployment
- Focus on digital sovereignty, including AI and cloud services hosted on Danish soil
- Practical case studies from municipalities and public institutions that have successfully scaled AI initiatives
- Technical and organisational guidance on infrastructure, governance, automation, and decision support systems
- Designed for public sector executives, IT leaders, and digital transformation professionals
Introduction
AI i det offentlige: Når de ambitiøse løsninger skaleres brings together Danish public sector professionals to address one of the most pressing challenges in government technology: moving artificial intelligence from experimental pilots to sustainable, large-scale operations. Held in Aarhus, the conference targets decision-makers responsible for AI strategy across municipalities, regions, and state agencies. The timing reflects a critical inflection point for public sector AI adoption in Denmark, where early experiments have demonstrated potential but many organisations now face the complex task of operationalising these systems at scale while maintaining legal compliance, security standards, and measurable public benefit.
About This Event
This in-person conference takes place at Vue, Bruuns Galleri in Aarhus and is organised by Computerworld Kurser. The programme combines keynote presentations with practical case studies and dedicated networking sessions, creating opportunities for attendees to learn from peers who have navigated the challenges of AI implementation in government contexts. The event is structured specifically for end-users and decision-makers within the public sector, excluding vendors and competitors to facilitate candid discussion of real-world experiences.
Speakers include practitioners from Danish public institutions who have direct experience orchestrating AI efforts with central platforms, managing compute environments, and deploying citizen-facing digital services. The programme draws on expertise from organisations working with significant Danish AI infrastructure, including DTU Computerome and the Gefion supercomputer, with Lenovo among the technology partners supporting the event.
From Pilot Projects to Production Systems
The central theme of the conference addresses a challenge familiar to many public sector technology leaders: the gap between successful AI pilots and operational systems that deliver sustained value. While proof-of-concept projects can demonstrate technical feasibility, scaling these initiatives requires fundamentally different approaches to infrastructure, governance, and organisational change management.
Sessions examine how Danish public organisations have navigated this transition, exploring the architectural decisions that enable AI systems to move from isolated experiments to shared infrastructure serving multiple departments or even multiple agencies. This includes practical guidance on compute environment management, workflow automation, and the integration of AI-powered decision support into existing administrative processes.
The conference places particular emphasis on measurable outcomes. Rather than focusing solely on technical capabilities, discussions centre on how scaled AI implementations have delivered tangible improvements to public services and administrative efficiency. This outcomes-oriented approach reflects growing pressure on public sector technology investments to demonstrate clear returns.
Digital Sovereignty and Compliance Requirements
A significant portion of the programme addresses digital sovereignty—the principle that nations should maintain control over their critical digital infrastructure and data. For Danish public sector organisations, this translates into specific requirements around where AI systems and cloud services are hosted, how data is processed, and which jurisdictions govern these operations.
These considerations have become increasingly important as AI systems handle more sensitive government functions. The conference explores how organisations can leverage AI capabilities while ensuring compliance with Danish and European legal frameworks. This includes examination of on-soil computing options and the role of national infrastructure investments like the Gefion supercomputer in providing sovereign AI capacity.
Security requirements receive substantial attention, reflecting the heightened risk profile of AI systems that may influence administrative decisions or process citizen data. Speakers address how organisations have implemented security frameworks that satisfy regulatory requirements while remaining practical for operational teams to maintain.
Infrastructure and Governance Frameworks
Scaling AI in the public sector requires robust infrastructure and clear governance structures. The conference examines both dimensions, recognising that technical architecture and organisational frameworks must evolve together for AI initiatives to succeed at scale.
On the infrastructure side, sessions cover the design of AI platforms that can serve as shared resources across administrative boundaries. This approach allows multiple departments or agencies to benefit from centralised AI capabilities without each building independent systems—reducing duplication, improving consistency, and enabling more efficient use of specialised technical expertise.
Governance discussions address the policies, processes, and accountability structures necessary for responsible AI operations. This includes frameworks for evaluating when AI-assisted decision-making is appropriate, how to maintain human oversight, and mechanisms for monitoring system performance and addressing errors. The emphasis on responsible and sustainable AI reflects broader European policy directions while acknowledging the specific operational realities of Danish public administration.
Automation and Citizen Services
Practical applications of AI in public services form a core component of the programme. Case studies examine how Danish municipalities and agencies have deployed AI to automate administrative workflows, support caseworker decisions, and improve digital services available to citizens.
These implementations span a range of complexity, from relatively straightforward document processing automation to more sophisticated systems that assist with complex administrative determinations. The conference provides insight into which use cases have proven most suitable for AI augmentation and where organisations have encountered limitations or unexpected challenges.
The focus on citizen-facing services acknowledges that public sector AI ultimately exists to serve the public. Discussions examine how AI implementations have affected service quality, processing times, and citizen experience, providing concrete evidence for the benefits—and potential risks—of these technologies in government contexts.
Who Should Attend
The conference is designed for senior professionals within Danish public sector organisations who hold responsibility for or influence over AI and digital transformation initiatives. This includes chief executive officers, chief information officers, chief technology officers, and chief digital officers, as well as IT managers, project leaders, and security officers working on AI-related programmes.
Business developers and digital development professionals will find value in the practical case studies and discussions of organisational change management. The event is particularly relevant for those whose organisations have completed initial AI pilots and are now considering how to scale these efforts, as well as those beginning to develop AI strategies who wish to learn from the experiences of more advanced peers.
By restricting attendance to end-users and decision-makers, the conference creates an environment conducive to frank discussion of challenges, failures, and lessons learned—insights that are often difficult to surface in mixed vendor-customer settings.
The Danish Public Sector AI Landscape
Denmark has positioned itself as a leader in public sector digitalisation, and AI represents the next frontier in this ongoing transformation. National investments in AI infrastructure, including high-performance computing resources, provide a foundation for ambitious public sector applications. However, realising the potential of these investments requires individual organisations to develop the capabilities, processes, and governance structures necessary for effective AI deployment.
The conference serves as a platform for sharing knowledge across this ecosystem, enabling organisations at different stages of AI maturity to learn from one another. This collaborative approach to capability building reflects a recognition that the challenges of public sector AI adoption are shared challenges, and that collective progress benefits the entire sector and the citizens it serves.