The 11th annual Nordic Data Science and Machine Learning (NDSML) Summit starts today under the central theme: “From Models to Operational AI: Orchestrating Autonomous Agents and Intelligent Workflows at Enterprise Scale”.
Marking a decade of innovation, this year’s summit pivots from conversational generative AI experiments toward autonomous workflows, real-time inference, and production-grade agentic architectures.
Three Specialized Tracks Address Scaling Roadblocks
Operating across a main Plenum and three parallel tracks, the summit breaks down enterprise AI execution into distinct operational layers:
- Manage + Govern AI: Focuses on establishing governance frameworks, algorithmic transparency, regulatory readiness, and cross-enterprise adoption strategies.
- Develop + Deploy AI: Explores the technical orchestration, testing, and continuous monitoring required for multi-agent systems and production LLM applications.
- Infrastructure + Data Engineering: Details modern compute environments, streaming data foundations, real-time inference pipelines, and emerging standards like Model Context Protocols (MCP).
Day 2 will also include practical technical workshops capped at 24 participants per session to ensure dedicated instruction. The 90-minute sessions will cover high-demand engineering topics, including retrieval-augmented generation (RAG), fine-tuning, performance optimization, and scalable MLOps practices.
Capped Onsite Attendance Meets Global Hybrid Broadcast
In keeping with its multi-year format, in-person capacity is restricted to 400 delegates to maintain peer-to-peer discussions and technical exchange. Agorify, an integrated digital platform simultaneously streams keynotes and track sessions globally, providing remote attendees with direct access to live Q&As, virtual exhibitor booths, and one-on-one networking tools.
The Nordic Data Science and Machine Learning Summit is Northern Europe’s primary annual meeting place for enterprise AI strategists, engineers, and data infrastructure teams. Curated by industry practitioners alongside community organizers, the summit aims to accelerate applied machine learning adoption across the region by focusing strictly on practical execution, peer benchmarking, and production engineering over speculative trends. 
The organizer, Stockholm-based Hyperight AB, is an international event media provider and data community platform dedicated to empowering organizations through premium content, executive networks, and crowdsourced knowledge-sharing.
