Conference Description
Key Takeaways
- Danish public sector conference addressing the transition from AI pilot projects to large-scale operational deployment
- Focus on AI governance, compliance, data quality, and digital sovereignty within government organisations
- Case studies from municipalities and national agencies demonstrating measurable outcomes
- Designed for CIOs, CTOs, CDOs, IT directors, and digitisation leaders in the public sector
- Explores AI as shared infrastructure across government departments and the modernisation of legacy systems
Introduction
AI i det offentlige: Når de ambitiøse løsninger skaleres is a one-day conference in Copenhagen examining how Danish public sector organisations are advancing beyond experimental AI initiatives toward sustainable, large-scale implementation. The event brings together senior technology leaders, practitioners, and solution providers to address the practical realities of deploying artificial intelligence across government operations while maintaining compliance, security, and measurable citizen benefit.
The timing reflects a critical inflection point for public sector AI adoption. Many government organisations have completed successful pilot programmes but now face the considerably more complex challenge of scaling these solutions across departments, integrating them with existing infrastructure, and ensuring they meet stringent regulatory requirements. This conference addresses that specific operational gap.
About This Event
The conference operates within the public sector AI transformation space, concentrating on implementation, governance, and digital modernisation within government and municipal contexts. Rather than theoretical discussions about AI potential, the programme emphasises real-world case studies, lessons learned from actual deployments, and the tangible benefits organisations have achieved through systematic AI adoption.
Presentations come from leading public sector AI practitioners, technology vendors, and consultants, offering both strategic perspectives for executive decision-makers and practical insights for technical leads responsible for implementation. The format prioritises executive-level content and networking opportunities over hands-on workshops, reflecting the seniority of the intended audience.
Scaling AI from Pilots to Production
The central theme running through the conference concerns the transition from isolated AI experiments to stable, scalable operations. This represents one of the most significant challenges facing public sector technology leaders today. Pilot projects often succeed within controlled environments but encounter substantial obstacles when organisations attempt to deploy them at scale across multiple departments or integrate them with legacy systems.
The conference examines the organisational, technical, and procedural changes required to make this transition successfully. This includes establishing appropriate governance frameworks, building internal capabilities, managing vendor relationships, and creating the data infrastructure necessary to support AI workloads reliably. Attendees gain insight into how other public organisations have navigated these challenges and the specific approaches that have proven effective.
AI as Shared Government Infrastructure
A distinctive aspect of the programme involves treating AI not as a collection of discrete applications but as shared infrastructure that can serve multiple government functions. This architectural approach offers significant advantages for public sector organisations, enabling them to achieve economies of scale, maintain consistent governance standards, and avoid the fragmentation that often results from department-by-department AI adoption.
The conference explores how AI platforms can be orchestrated to support workflow automation, decision support systems, and citizen services across organisational boundaries. This requires careful attention to data sharing agreements, security protocols, and the technical interoperability of different systems. Several sessions address the platform management challenges inherent in this approach and the governance structures that enable it to function effectively.
Compliance, Security, and Digital Sovereignty
Public sector AI deployment operates under constraints that differ substantially from private sector implementations. Government organisations must ensure their AI systems comply with data protection regulations, maintain appropriate security standards, and increasingly consider questions of digital sovereignty regarding where data is processed and stored.
The conference addresses these requirements directly, examining how organisations can adopt AI responsibly while meeting their legal and ethical obligations. This includes discussions of data quality and governance, the selection and management of cloud services, and the frameworks organisations use to evaluate AI solutions against compliance requirements. The emphasis on responsible and sustainable AI adoption reflects the heightened accountability standards that apply to government technology decisions.
Modernising Legacy Systems
Many public sector organisations operate technology estates that have accumulated over decades, creating integration challenges when introducing AI capabilities. The conference examines strategies for modernising these legacy systems, whether through gradual enhancement, replacement, or the creation of abstraction layers that allow AI tools to interact with older infrastructure.
This practical focus acknowledges that most government technology leaders cannot simply replace existing systems but must find ways to introduce AI capabilities within their current operational constraints. Case studies from municipalities and national agencies provide concrete examples of how organisations have approached this challenge.
Technology Ecosystem
The conference features participation from several significant technology providers and organisations active in the Danish public sector AI space. These include Dell Technologies, Lenovo, and NVIDIA, representing the hardware and computing infrastructure layer essential for AI workloads. DTU Computerome and Gefion, the Danish supercomputer, demonstrate the national computing resources available to support public sector AI initiatives.
Consulting and implementation expertise comes from organisations including Knowit, Immeo, 7N & Globeteam, and Context&, while Salesforce represents the enterprise software platforms that often form part of public sector digital infrastructure. This mix of participants reflects the collaborative ecosystem required to deliver large-scale AI implementations in government contexts.
Who Should Attend
The conference is designed for public sector professionals who hold responsibility for or influence over large-scale AI initiatives. This includes chief information officers, chief technology officers, chief data officers, IT directors, and heads of digitalisation within municipalities, regions, and state agencies.
The programme also serves project managers overseeing AI implementations, business developers exploring AI applications, and security officers responsible for ensuring AI deployments meet organisational risk requirements. Senior executives seeking strategic perspective and technical leads requiring practical implementation guidance will both find relevant content within the programme.
Addressing Implementation Challenges
The conference directly addresses several persistent challenges facing public sector AI adoption. Moving from successful pilots to stable, scalable operations requires overcoming both technical and organisational barriers that many government bodies find difficult to navigate independently. The event provides frameworks and examples for managing this transition effectively.
Ensuring AI solutions remain compliant, secure, and sustainable over time presents ongoing governance challenges that the programme examines in detail. Achieving measurable value and demonstrable improvements in citizen services—rather than simply deploying technology—remains the ultimate objective, and the conference maintains focus on outcomes rather than implementation for its own sake. Managing the complex relationships between data, platforms, and vendors that characterise modern AI deployments receives substantial attention throughout the programme.