Conference Description
Key Takeaways
- Focuses on practical AI system building, deployment and operationalization rather than theoretical concepts
- Covers AI infrastructure, governance, strategy and industry applications across technical and executive tracks
- Designed for engineers, data scientists, ML architects, researchers, founders and executive leadership
- Features technical tutorials, executive forums, hands-on workshops and demos
- Draws participation from major technology vendors including AMD, NVIDIA, Microsoft, Google, AWS and IBM
About DSC Europe
DSC Europe positions itself as a conference for practitioners actively developing and deploying AI systems. The event brings together engineers, researchers, founders and enterprise teams to share knowledge from real-world implementations. Sessions span technical tutorials, executive summits, core conference presentations, hands-on workshops and product demonstrations.
Core Subject Areas
The programme addresses five interconnected domains: AI core technologies (models, compute and infrastructure), AI knowledge (research and advancements), AI governance (rules and institutional frameworks), AI strategy (deployment decisions) and AI applications (industry transformations). This structure reflects the reality that production AI systems require alignment between technical capabilities, organizational readiness and regulatory considerations.
Industry Participation
The sponsor roster spans chip manufacturers, cloud providers, enterprise software companies and end-user organizations. Technology partners include AMD, NVIDIA, Microsoft, Google, AWS, IBM, Red Hat, NetApp and Tenstorrent. Industry participants represent sectors including financial services (Banca Intesa, OTP Banka, Generali), healthcare (Roche), automotive (Rivian), telecommunications (A1 Group, Yettel) and international development (World Bank).
Who Should Attend
The conference targets AI developers, data and ML infrastructure architects, data scientists, analytics professionals and executive leadership. Relevant roles include engineers, CTOs, heads of data and AI, solution architects and senior executives. Attendees typically come from technology, finance, healthcare, automotive and related sectors where AI deployment is an operational priority.