AI AT SCALE:
PREPARING FOR THE THOUSAND-AGENT FUTURE
1 Step Awaaay From Joining the 2026 edition of
NDSML Summit in Stockholm
10TH & 11TH NOVEMBER, 2026 | HYBRID
ONSITE: FILADELFIA CONVENTION CENTER, STOCKHOLM | ONLINE: AGORIFY
Event starts in:
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Join the Largest Enterprise Applied Agentic AI Conference
in the Nordics and Europe
Join the largest
Enterprise
Applied Agentic AI
Conference in the
Nordics and Europe
10TH & 11TH NOVEMBER, 2026 | STOCKHOLM & ONLINE
10TH & 11TH NOVEMBER, 2026
STOCKHOLM & ONLINE
From Models to Operational AI
Orchestrating Autonomous Agents and Intelligent Workflows at Enterprise Scale
Industry Tickets
Secure checkout powered by Agorify, our official ticketing partner
Secure checkout powered by Agorify,
our official ticketing partner
Single Ticket
€519
1 participant
price per participant
Access to all event stages (10th/11th Nov)
Lunch, coffee and other refreshments
Access to the official event app
Online access to all event stages
On-Demand Replay Period
Post event materials
Group Ticket
€449
2-4 participants
price per participant
Access to all event stages (10th/11th Nov)
Lunch, coffee and other refreshments
Access to the official event app
Online access to all event stages
On-Demand Replay Period
Post event materials
Branded Ticket
€399
5+ participant
price per participant
Access to all event stages (10th/11th Nov)
Lunch, coffee and other refreshments
Access to the official event app
Online access to all event stages
On-Demand Replay Period
Post event materials
Company logo added as Supporting Partner
Single Ticket | €519
Single Ticket | €519
1 participant
price per participant
• Access to all event stages (10th/11th Nov)
• Lunch, coffee and other refreshments
• Access to the official event app
• Online access to all event stages
• On-Demand Replay Period Post event materials
Group Ticket | €449
Group Ticket | €449
2-4 participants
price per participant
• Access to all event stages (10th/11th Nov)
• Lunch, coffee and other refreshments
• Access to the official event app
• Online access to all event stages
• On-Demand Replay Period Post event materials
Branded Ticket | €399
Branded Ticket | €399
5+ participants
price per participant
• Access to all event stages (10th/11th Nov)
• Lunch, coffee and other refreshments
• Access to the official event app
• Online access to all event stages
• On-Demand Replay Period Post event materials
Company logo added as Supporting Partner
INDUSTRY TICKETS applicable for all industries, public sector, academia and start up companies.
VENDOR TICKETS applicable for all companies that provide Data, Analytics and AI solutions and/or services.
If you are unsure which NDSML Summit ticket price to purchase or have any questions please don’t hesitate to contact our Booking Team at events@hyperight.com or simply chat with us here.
We are very much looking forward to assist you!
All prices are without VAT (not applicable for international clients).
11 additional reasons why to attend NDSML Summit
Discover the Unmissable Opportunities at the
NDSML Summit
Join us at the highly anticipated NDSML Summit and unlock a world of possibilities in the realms of Data Science, Machine Learning, Data Engineering, AI, GenAI, and much more.
By attending this event, you’ll gain exclusive access to:
Production-Ready AI Systems
Production-Ready AI Systems
Learn how enterprises are moving beyond experimentation toward deploying reliable, scalable, and operational AI systems across real business environments. Discover practical strategies for building AI applications, intelligent workflows, and autonomous systems that organizations can trust in production.
Autonomous Agents and Intelligent Workflows
Autonomous Agents and Intelligent Workflows
Explore how enterprises are designing, orchestrating, and operationalizing AI agents and intelligent workflows capable of automating tasks, supporting decisions, and interacting across enterprise systems and business operations.
Enterprise AI Engineering
Enterprise AI Engineering
Gain practical insights into modern AI engineering practices including LLMOps, MLOps, orchestration, evaluation, deployment, observability, and operational AI architectures required to scale enterprise AI successfully.
Real World Enterprise AI Case Studies
Real World Enterprise AI Case Studies
Learn from organizations actively deploying Generative AI, AI agents, and intelligent systems into production. Discover practical implementation lessons, operational challenges, and measurable business outcomes.
AI Governance and Operational Trust
AI Governance and Operational Trust
Understand how enterprises are balancing innovation, governance, security, compliance, observability, and human oversight while operationalizing AI across critical workflows and business functions.
Building Reliable AI Systems
Building Reliable AI Systems
Discover how organizations are addressing hallucinations, context management, reliability failures, evaluation, monitoring, and operational observability to create trustworthy enterprise AI systems.
AI Infrastructure at Scale
AI Infrastructure at Scale
Explore the infrastructure, compute environments, vector databases, pipelines, streaming architectures, and AI platforms required to support production ready AI systems and enterprise scale intelligent operations.
AI Ready Data Engineering
AI Ready Data Engineering
Learn how modern data engineering practices are evolving to support autonomous AI systems through real time pipelines, contextual architectures, interoperability, metadata, and scalable AI ready data foundations.
Operationalizing Generative AI
Operationalizing Generative AI
Explore how organizations are transforming Generative AI from isolated copilots into integrated enterprise systems connected to tools, workflows, operations, and intelligent execution layers.
AI Evaluation and Observability
AI Evaluation and Observability
Discover how leading organizations continuously evaluate, monitor, observe, and improve AI systems in production environments through operational metrics, testing frameworks, telemetry, and reliability engineering.
AI Infrastructure Economics
AI Infrastructure Economics
Learn how enterprises are optimizing GPU utilization, inference costs, compute performance, scalability, and infrastructure efficiency while preparing for the next generation of enterprise AI workloads.
Production-Ready AI Systems
Learn how enterprises are moving beyond experimentation toward deploying reliable, scalable, and operational AI systems across real business environments. Discover practical strategies for building AI applications, intelligent workflows, and autonomous systems that organizations can trust in production.
Autonomous Agents and Intelligent Workflows
Explore how enterprises are designing, orchestrating, and operationalizing AI agents and intelligent workflows capable of automating tasks, supporting decisions, and interacting across enterprise systems and business operations.
Enterprise AI Engineering
Gain practical insights into modern AI engineering practices including LLMOps, MLOps, orchestration, evaluation, deployment, observability, and operational AI architectures required to scale enterprise AI successfully.
Real World Enterprise AI Case Studies
Learn from organizations actively deploying Generative AI, AI agents, and intelligent systems into production. Discover practical implementation lessons, operational challenges, and measurable business outcomes.
AI Governance and Operational Trust
Understand how enterprises are balancing innovation, governance, security, compliance, observability, and human oversight while operationalizing AI across critical workflows and business functions.
Building Reliable AI Systems
Discover how organizations are addressing hallucinations, context management, reliability failures, evaluation, monitoring, and operational observability to create trustworthy enterprise AI systems.
AI Infrastructure at Scale
Explore the infrastructure, compute environments, vector databases, pipelines, streaming architectures, and AI platforms required to support production ready AI systems and enterprise scale intelligent operations.
AI Ready Data Engineering
Learn how modern data engineering practices are evolving to support autonomous AI systems through real time pipelines, contextual architectures, interoperability, metadata, and scalable AI ready data foundations.
Operationalizing Generative AI
Explore how organizations are transforming Generative AI from isolated copilots into integrated enterprise systems connected to tools, workflows, operations, and intelligent execution layers..
AI Evaluation and Observability
Discover how leading organizations continuously evaluate, monitor, observe, and improve AI systems in production environments through operational metrics, testing frameworks, telemetry, and reliability engineering.
AI Infrastructure Economics
Learn how enterprises are optimizing GPU utilization, inference costs, compute performance, scalability, and infrastructure efficiency while preparing for the next generation of enterprise AI workloads.
11TH EDITION
From Models to Operational AI
Orchestrating Autonomous Agents and Intelligent Workflows at Enterprise Scale
NDSML Summit 2026
The Largest Enterprise Applied Agentic AI Conference in the Nordics and Europe
10TH & 11TH NOVEMBER, 2026 | HYBRID
ONSITE: FILADELFIA CONVENTION CENTER, STOCKHOLM | ONLINE: AGORIFY
Event starts in:
Days
Hours
Minutes
Seconds