From Models to Operational AI
NDSML Summit 2026 brings together the Nordic data science, machine learning, and artificial intelligence community for two days focused on the transition from AI models and prototypes to production-ready enterprise systems.
The 11th edition takes place on November 10–11, 2026, in a hybrid format, with the onsite summit at the Filadelfia Convention Center in Stockholm, Sweden, and online participation available through Agorify.
Under the theme “From Models to Operational AI: Orchestrating Autonomous Agents and Intelligent Workflows at Enterprise Scale,” the summit will explore how organizations can build, deploy, govern, and scale modern AI systems across the enterprise.
What to Expect
NDSML Summit 2026 focuses on the technologies and practices required to move AI into real-world enterprise operations.
Key areas include:
- Generative AI and large language models
- Agentic AI and autonomous workflows
- Machine learning and deep learning
- MLOps and LLMOps
- AI infrastructure and compute
- Data engineering and DataOps
- AI governance, trust, and compliance
- AI evaluation and observability
- Production-ready AI systems
- AI-ready data architectures
- Enterprise AI operating models
- RAG, fine-tuning, and model optimization
- GPU, TPU, and cloud infrastructure
- Edge AI and AI hardware
Three Conference Tracks
The two main conference days feature three dedicated stages covering different aspects of enterprise AI.
Manage + Govern AI
This track examines AI governance, trust, compliance, observability, responsible AI adoption, human oversight, and the operational management of AI systems at enterprise scale.
Develop + Deploy AI
This track focuses on building, deploying, and scaling production-ready AI systems, including autonomous agents, LLMOps, MLOps, evaluation, and intelligent workflows.
Infrastructure + Data Engineering
This technical track explores modern data architectures and infrastructure supporting AI workloads, including DataOps, real-time inference, hybrid environments, GPU and TPU strategies, and cloud-native infrastructure.
Hands-On Workshops
The first part of Day 1 features hands-on workshops covering topics such as Generative AI and Large Language Models, MLOps, Data Engineering, and model refinement.
Workshop topics include RAG, fine-tuning, and performance optimization. Workshops are designed as practical sessions and have limited seating, with separate registration required.
AI2Robotics Expo
The 2026 edition also introduces the AI2Robotics Exhibition, featuring technology providers across data science and machine learning software, NLP and computer vision, AI hardware, high-performance GPUs, TPUs, storage systems, and Edge AI.
The exhibition provides attendees with opportunities to explore technologies supporting modern data-intensive AI workloads.
Event Highlights
- 30+ international speakers
- Interactive panels and technical sessions
- Three conference stages
- Hands-on AI and data workshops
- Onsite exhibition area
- Hybrid online participation
- Networking and meeting opportunities
- AI and machine learning technology providers
- Dedicated tracks for enterprise AI, infrastructure, and data engineering
The onsite summit is limited to 400 delegates, while online participation is available without the same onsite capacity restriction.
Event Details
Date: November 10–11, 2026
Venue: Filadelfia Convention Center
Location: Stockholm, Sweden
Format: Hybrid
Online Platform: Agorify
Onsite Capacity: 400 delegates
Edition: 11th
Who Should Attend?
NDSML Summit 2026 is relevant for data scientists, machine learning engineers, AI engineers, data engineers, MLOps and LLMOps professionals, technology leaders, AI product teams, software engineers, enterprise architects, and decision-makers responsible for AI and data infrastructure.
It is particularly relevant for organizations looking to move beyond AI experimentation and build reliable, scalable, governed, and production-ready AI systems.
Why It Matters
Enterprise AI is moving from isolated models and copilots toward autonomous systems that can execute tasks, interact with enterprise data, and operate across business workflows.
NDSML Summit 2026 focuses directly on this transition, covering the infrastructure, data foundations, governance, engineering practices, and operational capabilities required to make AI systems reliable at enterprise scale.
Registration
Tickets, the conference agenda, speaker information, and hybrid participation details are available through the official NDSML Summit website.
Official Event Website: https://ndsmlsummit.com/
Registration: https://ndsmlsummit.com/tickets/
