<The_NDSML_Summit_Experience/>
The Largest Enterprise Applied Agentic AI Conference in the Nordics and Europe
<The_NDSML_Summit/>
The Summit at glance
The Nordic Data Science and Machine Learning Summit is an annual event bringing together the Data Science and Machine Learning community in the Nordics to share ideas and discuss ways to harness the full potential of traditional ML models, cutting-edge generative AI systems, and the emerging class of Agentic AI as well as explore the development and the maturity of Data Science and AI as a function.

Limited to
400 Delegates

Hands-On
Workshops

True Hybrid Experience
All in One Platform

Exhibitors
Stands/Pages

Two Conference Days with
Three stages

Networking
Program
The Summit Stages
The keynote presentations are the pillars of the entire conference and the most memorable presentations of the event. As opening plenary talks, they set the tone of the entire conference, tie all themes together and provide excitement on the presentations that are about to come. This year’s keynote list includes visionaries and leading expert names in Data Science, Machine Learning and AI
Governance, trust, compliance, and operational AI readiness.
Strategy and technical stage examines the growing complexity of overseeing hundreds—or thoA strategic track focusing on how enterprises manage, govern, evaluate, secure, and operationalize Generative AI and autonomous AI systems at scale through governance frameworks, AI operating models, trust, observability, compliance, human oversight, and responsible enterprise adoption practices.
Building and scaling production ready AI systems.
A technical and operational track focusing on how enterprises design, build, evaluate, deploy, monitor, and optimize machine learning systems, Generative AI applications, autonomous agents, and intelligent workflows through modern AI engineering, MLOps, LLMOps, orchestration, and production AI practices.
Scalable infrastructure and data systems for AI.
A strategy and technical track focusing on the infrastructure, platforms, architectures, compute environments, data engineering practices, and scalable pipelines required to support production ready AI systems, autonomous agents, and enterprise wide intelligent operations.
The Data & AI Strategy Canvas:
From Boardroom Vision to Bottom-Line Value
This Master Class introduces the Data & AI Strategy Canvas, a 10-element framework designed to close the gap between strategic ambition and day-to-day execution. The session is built around a single, realistic working scenario: a mid-size UK retail bank under competitive pressure, with a board-approved budget and four stakeholders who each want to spend it on something different. Participants will use the canvas to work through that scenario from first principles, starting with strategic objectives and finishing with operating model, governance, and risk, so they leave with both the framework and direct experience applying it.
<Request_download_and_explore/>
Find out everything about the Summit – delivered in one simple PDF Agenda.

<The_Exhibiton_at_glance/>
The Exhibition at glance
Today’s Data Science and AI landscape demands diverse solutions, organizational adaptability, and robust infrastructure. Key requirements include simplicity, interoperability, scalability, collaboration, affordability, security, and above all, speed, accuracy, and power. Staying at the forefront of these technologies and ensuring access to them can be a game-changer and a crucial advantage for every practitioner and company.
This year, we’re excited to introduce a revamped exhibition that perfectly complements the summit. The exhibition will feature leading technology providers showcasing the latest in DSML software platforms, NLP/Computer Vision solutions, and AI hardware, including advanced workstations, high-performance GPUs, TPUs, storage systems, and Edge AI – all crucial for navigating the data-intensive world of AI.
Additionally, we’ve dedicated space to innovative Nordic startups, who are at the forefront of groundbreaking research, products, and technologies, highlighting the vibrant, cutting-edge work in our community.
Companies that facilitate the development, deployment, and scaling of ML models, incorporating features like model management, analytics, and automation tools.
Tools and platforms that streamline the entire lifecycle of machine learning development, focusing on automation, monitoring, and collaboration for efficient model deployment and maintenance.
Tools focused on data management, quality assurance, and integration, essential for preparing and processing the large datasets that fuel AI and ML systems.
Providers of specialized hardware like GPUs and TPUs, storage systems, and infrastructure solutions tailored for the high-performance demands of AI and ML workloads.
Exhibitors in this category provide cloud platforms equipped with high-performance GPUs, catering to the demanding computational needs of AI and ML workload.
Solutions crucial for real-time, on-site data processing. Innovations that allow AI models to operate efficiently at the edge of networks, enhancing speed and reducing latency in AI applications.
Companies offering ready-to-use AI applications across various domains such as customer service automation, predictive analytics, image and speech recognition, and more.
Companies ensuring data privacy and model security through encryption, access controls, and compliance with regulations like GDPR and th AI Act.
Enabling team collaboration and knowledge sharing through platforms like GitHub, Jira, or Confluence.
<The_NDSML_Summit_Advisory_Board/>
Making sure the Summit delivers relevant content


Robert Luciani
Founder, AI Wizard
Nerv Dynamics

Anders Arpteg
VP AI & Data
Saab Group

Salla Franzen
Investment Manager
Navigare Ventures AB

Daniel Tidström
Senior Partner
Data Edge
The Chairman
Robert Luciani
Founder, AI Wizard | Nerv Dynamics
Robert is first and foremost a jazz-fusion composer, but with a deep background in formal logic and computer science. He has worked on everything from open-source Unix kernel programming, to architecting enterprise cloud environments at Microsoft, and developing original AI-driven products as an entrepreneur. With nearly two decades of experience in hands-on development of disruptive technologies in enterprise environments, Robert currently provides executive advisory services to help others make a successful leap into the future.
<Our_2026_Speakers/>
Orchestrating Autonomous Agents and Intelligent Workflows at Enteprise Scale

Arek Borucki
Machine Learning Platform & Database Engineer
Hugging Face

Eugene Klyuchnikov
Principal Data Engineer
Zalando

Luba Weissmann
AI&Data Director
Epiroc


Joachim Stegmann
Director AI&ML
Deutsche Telekom AG

Andrea Kovalova
Data Scientist
Wärtsilä

William Smedberg
AI Lead
Sandvik

Peter Malmberg
VP Innovation & Digital Divisional Management
Epiroc

Maria Litova
Data Scientist
Wärtsilä

Valentin Buchner
Chief Architect
Chapter Two


David Wallén
CEO & Co-founder
Intric
Our 2026 Partners
Become a Partner of NDSML Summit
Tell us a little bit about yourself and we will get in touch
Our 2026 Media Partners
Become a Partner of NDSML Summit
Pictures from the 2025 edition

All pictures from NDSML Summit 2025 can be found here











