The Data Science Machine Learning and AI Community Event of the Year
The Nordic Data Science and Machine Learning Summit’s mission has always been to support the Data Science, Machine Learning and AI community and provide insights into the latest challenges, trends, solutions and opportunities.
This year, we’re excited to introduce a revamped exhibition that perfectly complements the summit.
The AI2Robotics Exhibition (AI2R Expo) 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.
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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 Advanced Analytics and AI as well as explore the development and the maturity of Data Science and AI as a function.. With domestic and international speakers on stage, interactive panel discussions and plenty of learning and networking activities in the exhibition area, the Nordic Data Science and Machine Learning Summit is the place to be for all professionals and organizations working with utilization of Data Science, Machine and Artificial Intelligence to innovate and improve their business.
Limited to 400 Delegates
To maintain the networking and knowledge-sharing experience, the onsite summit is limited to a maximum of 400 participants while the number of online participants is unlimited. Speakers and exhibitors are carefully pre-qualified and selected to match the current regional market challenges, and provide outstanding content and insights relevant to the participants attending. The event has been sold out way in advance, in every one of the past seven editions.
Hands-On Workshops
On the event’s second day, attendees will have the chance to engage in hands-on workshops. These sessions will cover a range of topics including Generative AI & Large Language Models, MLOps, Data Engineering, and Model Refinement, which encompasses RAG, fine-tuning, and Performance Optimization. Each complimentary workshop, offered at no additional cost, will be 90 minutes long and limited to 24 participants. These workshops require separate registration due to limited seating.
True Hybrid Experience All in One Platform
As the event is planned as a hybrid one, the event platform becomes a central planning, communication and execution event tool. Once registered, through the platform you will be able to follow all the updates regarding the event, browse and communicate with the delegates in chat or video format, book meetings, collaborate, discuss, create your personalized agenda, book sessions, participate in pre-event and post event activities, ask questions during the summit, replay all the sessions, and much more.
Exhibitors Stands/Pages
Delegates attending the summit on-site will have the opportunity to visit the Exhibition Area and explore some of the most cutting-edge technologies and meet the best technology and service providers in the area. Some of them exhibiting for the first time in the Nordic region. Delegates attending Online, will have the opportunity to visit the Exhibitor pages, interact with the Exhibitor content and connect with the Exhibitors through the platform via chat and video meetings
Two Conference Days with Three stages
On this edition, during the two main conference days, delegates will have the opportunity to choose between three super insightful and interactive tracks including Strategy & Organization, ML & Value Realization, and Infrastructure & Engineering. All Keynotes are 20 min and all stage sessions are 30 minutes and held in English.
Networking Program
This year, responding to popular demand, we are introducing an evening program on the first day, beginning with a cocktail reception, designed to foster community engagement and facilitate meaningful connections. Post-event networking activities, including the AI Confession AW, will provide additional opportunities to connect and share insights.
Limited to 400 Delegates
To maintain the networking and knowledge-sharing experience, the onsite summit is limited to a maximum of 400 participants while the number of online participants is unlimited. Speakers and exhibitors are carefully pre-qualified and selected to match the current regional market challenges, and provide outstanding content and insights relevant to the participants attending. The event has been sold out way in advance, in every one of the past seven editions.
Hands-On Workshops
On the event’s second day, attendees will have the chance to engage in hands-on workshops. These sessions will cover a range of topics including Generative AI & Large Language Models, MLOps, Data Engineering, and Model Refinement, which encompasses RAG, fine-tuning, and Performance Optimization. Each complimentary workshop, offered at no additional cost, will be 90 minutes long and limited to 24 participants. These workshops require separate registration due to limited seating.
True Hybrid Experience All in One Platform
As the event is planned as a hybrid one, the event platform becomes a central planning, communication and execution event tool. Once registered, through the platform you will be able to follow all the updates regarding the event, browse and communicate with the delegates in chat or video format, book meetings, collaborate, discuss, create your personalized agenda, book sessions, participate in pre-event and post event activities, ask questions during the summit, replay all the sessions, and much more.
Exhibitors Stands/Pages
Delegates attending the summit on-site will have the opportunity to visit the Exhibition Area and explore some of the most cutting-edge technologies and meet the best technology and service providers in the area. Some of them exhibiting for the first time in the Nordic region. Delegates attending Online, will have the opportunity to visit the Exhibitor pages, interact with the Exhibitor content and connect with the Exhibitors through the platform via chat and video meetings
Two Conference Days with Three stages
On this edition, during the two main conference days, delegates will have the opportunity to choose between three super insightful and interactive tracks including Strategy & Organization, ML & Value Realization, and Infrastructure & Engineering. All Keynotes are 20 min and all stage sessions are 30 minutes and held in English.
Networking Program
This year, responding to popular demand, we are introducing an evening program on the first day, beginning with a cocktail reception, designed to foster community engagement and facilitate meaningful connections. Post-event networking activities, including the AI Confession AW, will provide additional opportunities to connect and share insights.
The Summit Stages
Plenum Opening & Closing Stage
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.
Strategy & Applied AI Stage
A stage emphasizing the strategic aspects of AI deployment in businesses. It will cover how AI and ML are being applied to solve real-world business problems, with a special focus on ethical considerations and governance in AI. This stage is ideal for those looking to understand the broader business implications and strategic potential of AI and ML.
Machine Learning & MLOps Stage
Technical stage focusing on the latest innovations in machine learning and the operational excellence required to bring these innovations to life. Special focus on the latest methods and practices in MLOps, LLMOps, Model Refinement, as well as the practical aspects of implementing and scaling ML models within organizations.
Infrastructure & Data Engineering Stage
Technical stage focusing on the crucial role of data engineering and the infrastructure that underpins AI/ML projects. The content is tailored to those working with the technical underpinnings of ML, including data management, data processing frameworks, and the hardware/software ecosystems necessary for effective AI/ML deployment.
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 AI2Robotics Exhibition (AI2R Expo) 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.
Data Science & ML Platforms
Companies that facilitate the development, deployment, and scaling of ML models, incorporating features like model management, analytics, and automation tools.
MLOps Solutions
Tools and platforms that streamline the entire lifecycle of machine learning development, focusing on automation, monitoring, and collaboration for efficient model deployment and maintenance.
Data Engineering & Integration Tools
Tools focused on data management, quality assurance, and integration, essential for preparing and processing the large datasets that fuel AI and ML systems.
AI Infrastructure & Hardware
Providers of specialized hardware like GPUs and TPUs, storage systems, and infrastructure solutions tailored for the high-performance demands of AI and ML workloads.
GPU Cloud Infrastructure
Exhibitors in this category provide cloud platforms equipped with high-performance GPUs, catering to the demanding computational needs of AI and ML workload.
Edge AI Technologies
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.
Ready-to-Use 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.
Security & Compliance
Companies ensuring data privacy and model security through encryption, access controls, and compliance with regulations like GDPR and th AI Act.
Nordic AI Startups
Enabling team collaboration and knowledge sharing through platforms like GitHub, Jira, or Confluence.
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Find out everything about theAI2R Expo sponsorship opportunities
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 through The AI Framework to help others make a successful leap into the future.
Meet our Keynote Speaker
Autonomous agents – the next AI frontier
Hagay Lupesko
VP Databricks Mosaic AI
Autonomous agents – the nextAI frontier
Hagay Lupesko
VP Databricks Mosaic AI
<Meet_our_Speakers/>
AI Transformed: From Vision to Value at Enterprise Scale
Michal Valko
Principal Llama Engineer
Meta
Aishwarya Jadhav
Software Engineer
Tesla Autopilot AI
Henrik Lindström
Principal Product Manager, Tech Research Spotify
Matthias Seeger
Principal Applied Scientist Amazon AI
Scott Haines
Distinguished Software Engineer Nike
Shiva Sander Tavallaey
AI-Lead ABB Sweden, Senior Principal Scientist – Applied Analytics ABB Corporate Research
Rasmus Gansted Brink
Head of Commercial Data Science CoE Danske Bank
Chloe Ai
Quantum Researcher Vodafone Group
Armin Catovic
Senior AI Engineer EQT Group
Ludvig Stålberg
Head of Digital Workplace EQT Group
Astrid Kyhl
Vice President, Head of Data & AI TDC NET
Hwalsuk Lee
CTO Upstage AI
Anders Dræge
Head of Team AI/ML Frende Forsikring
Catalin Hanga
Data Scientist Iveco Group
Asko Mustonen
Head of Intelligent Automation If P&C Insurance
Johan Kristiansson
Senior Researcher RISE Research Institutes of Sweden
Tomi Krogerus
Senior Manager, Analytics & AI Kalmar Finland Oy
Erik Aalto
Sr Data Scientist Toca Boca
Aaron Chapin
Unity Developer Toca Boca
Shubhomoy Biswas
Cloud Engineer Scania CV AB
Saradha Pasupathy
Data Engineer Scania CV AB
Jesper
Fredriksson
AI Lead Engineer Volvo Cars
Rui Pedro Machado
VP of Data Engineering and Architecture H&M
Filipa Peleja
Lead Data Science Engineer LEGO Group
Robert Sahlin
Director of Data platform Epidemic Sound
Lars Albertsson
Founder Scling
Albin Blum
Data Enthusiast and Co-Founder Theodora Tech
Erik Lindgren
Data Science & AI Lead Aller Media
Thomas Capelle
Machine Learning Engineer Weights and Biases
Alexander Koski
Data Engineer Theodora Tech
Dácil Hernández
Head of Business Solutions Stena AB
Ida Lööv
Business Transformation Manager Stena AB
Milap Patel
Head of Strategy & Innovation Ericsson
Kristof Neys
Director GDS Technology Neo4j
Jonas El Reweny
Pre-Sales Engineer Neo4j
AI Transformed: From Vision to Value at Enterprise Scale
your ticket is the key to NDSML SUMMIT has to offer – hybrid, knowledge, networking and more
AI Transformed: From Vision to Value at Enterprise Scale
your ticket is the key to NDSML SUMMIT has to offer – hybrid, knowledge, networking and more
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