Data + AI World Tour Stockholm

Thank you for a great Data + AI World Tour - we look forward to seeing you next year! If you missed the event, you can attend our virtual event on January 14, 2026.

Why attend Data + AI World Tour

Join the data and AI community in your city and see why industry leaders choose Databricks to unify and simplify their data, analytics and AI architectures.

Learn
Hear from thought-provoking speakers and technical experts on how to advance your data and AI strategies
Network
Build valuable connections, exchange ideas and share experiences with like-minded professionals, subject matter experts and thought leaders
Engage
Participate in hands-on sessions and interactive demos to deepen your skills and explore real applications of data and AI

Agenda

8:00 AM - 5:00 PM	Registration Grab your badge from the registration desk to start your day.
8:00 AM - 9:00 AM 10:30 AM - 6:00 PM	Expo Visit Databricks and sponsor booths, take part in fun activations, and network with other attendees.
9:00 AM - 10:30 AM	Keynote Hear from Databricks Executives and regional customers on the transformative power of data and AI.
11:00 PM - 5:00 PM	Breakout Sessions Dive deep into topics with expert-led breakout sessions tailored to your data and AI interests.
12:00 PM - 1:00 PM	Lunch Grab lunch in our Expo while visiting our sponsors.
5:00 PM - 9:00 PM	Reception Wrap up your day in our Expo with refreshments, fun activations, and networking.

Speakers

CIO
Databricks

Data Engineering Leader
Inter IKEA Group

Manager Data & Analytics Operations
Volvo Group Connected Solutions AB

VP Benelux & Nordic Region
Databricks

Director, Data & Analytics
Copenhagen Airports A/S

Lead Solution Architect - FSI
Databricks

Staff Data Engineer
Volvo Group Connected Solutions AB

Data and AI Enterprise Strategy Value Executive
Accenture

Director, Analytical Data Platform Services
DSV

Tech lead Data engineering
Coop

CTO
diggibyte

CTO Insights & Data
Capgemini

Director, AI Solutions
Fortum

Manufacturing & Energy Marketing Principal
Databricks

VP | Managing Director Insights and Data Nordics
Capgemini

Head of analytics
Coop

Industry Solutions Director, Manufacturing
Databricks

Solutions Architect
Statnett

System architect
Statnett

Specialist Solutions Architect
Databricks

RVP Databricks Nordics
Databricks

Director, Business Value Consulting
Databricks

Head of Platform
Flower

Advanced Analytics Lead
If

Data & AI Strategist
Databricks

Chief Data Officer
Nordic Investment Bank

VDE Architect
Swedbank

Director Data and Insight
Bertel O. Steen

Senior Solutions Engineer
Databricks

Data / Platform Engineer
Atlas Copco

Sr Specialist Solutions Architect
Databricks

Senior Director Field Engineering
Databricks

Senior Principal Data Engineer
Valcon

Solutions Architect
Databricks

Software Engineer
Epiroc

Director
Novo Nordisk

VP Commercial Analytics
Bertel O. Steen

Senior Business Analytics Consultant
Twoday

Sr Specialist Manager Cloud & AI Platforms
Microsoft

Head of Data Innovation
Vattenfall Wasserkraft GmbH

Principal Engineer, Data and AI
Knowit

AI and Data Science Manager
Epiroc

Delivery Solutions Architect
Databricks

AI Developer
Knowit

Engineering Manager
Adevinta

Manager, Platforms in ADPS
DSVxSchenker

Head Data and Analytics Platform
Atlas Copco

Senior ML Engineer
DSB

Sr. Solutions Architect
Databricks

Product Owner
OP Financial Group

Data Product Leader within IKEA Supply
Inter IKEA

CEO
Diggibyte

Portfolio Manager - AI & Data Platforms
Sandvik

Featured sessions

AskCAP: Coop Data Companion Powered by Databricks Genie and Microsoft Teams.

Business users once relied on point-and-click tools for self-service analytics. Now, they can simply type a question and press Enter. In this session, we’ll share our journey toward further data democratization through the integration of Databricks Genie with Microsoft Teams. You’ll discover how we transformed the way our organization interacts with data—making insights accessible, conversational, and contextual. We'll walk through the technical architecture that powers this solution and highlight the key success factors that drove adoption among analytically curious users within our organization, fostering a more data-driven culture.

Breaking the Data Ingestion Wall

OP Pohjola, Finland’s largest financial group, manages a highly regulated and complex data environment, with hundreds of applications and thousands of engineers. Today, its federated development model gives teams full lifecycle ownership, but data ingestion remains a critical bottleneck. Fragmented tools, strict access controls, unclear pipeline ownership, and reconciliation challenges slow delivery, raise costs, and complicate compliance. To overcome this, OP is deploying Lakeflow Connect. The solution automates ingestion, streamlines stakeholder interactions, consolidates tooling, and enables secure federated access—cutting setup time from months to days while improving reliability and compliance. The long-term vision: a unified data lake as the organization’s master system, powering analytics and operations, reducing costs, and making integration seamless.

Building a Boardroom-Ready AI Enterprise

Reporting no longer needs to stop at dashboards. In this session, we show how enterprises can move from traditional BI to real-time, AI-powered decisioning using Databricks AI/BI Genie and Aladdin — Diggibyte’s Databricks Brickbuilder Agentic AI Accelerator.

Leaders can ask questions in natural language, get instant insights, and trigger automated actions across the business.

We’ll walk through the journey from dashboards to conversational analytics and agent-driven automation, demonstrating how Genie delivers governed insights and how Aladdin converts those insights into recommended actions and workflows. Real customer examples will highlight faster decision cycles, higher accuracy, and stronger operational governance.

You’ll leave with practical learnings we had and proven best practices to modernize reporting, accelerate decision velocity, and build a scalable, AI-driven enterprise—starting small, proving value fast, and automating responsibly.

Building a Lakehouse supporting DSV’s consolidation Journey

DSV has through acquisitions grown to the world's biggest freight forwarder. As fast consolidation and transparency are key factors for a successful integration of companies, DSV has build an Analytical Data Platform that eases standardization and harmonization of data. Originally rooted in traditional data warehousing, with scalability and efficiency as main drivers, we have been emerging into a Lakehouse driven by mesh principles for broader and more flexible data usage across the organisation. The platform has also been an enabler for ETA predictions for Linehaul Routes by analyzing real time GPS Data and improving Shipment Event Data Quality in Real-Time by combining Transport Management System Data and Carrier API data.
We will in the presentation focus on how we have aimed at achieving scalability and efficiency in a centrally managed setup, how Databricks is an enabler for this, and what benefits this given us when integrating new companies. We will also shortly outline some of our near real time solutions and the value they have provided.

Building Production-Ready AI and Multi-Agent Systems With Agent Bricks

More than 80% of AI projects fail. The reason? Customers are not ready to put AI in production in areas where the Agent can cause reputational or financial harm. Introducing Agent Bricks, a new approach to deploying production-ready AI Agents. Agent Bricks uses novel research techniques to automatically generate domain-specific synthetic data and task-aware benchmarks. Based on these benchmarks, it automatically optimizes for cost and quality, saving enterprises from the tedious trial-and-error of current approaches. Now, teams can achieve production-level accuracy and cost efficiency right from the start.
This session will show you how to build and scale real-world AI systems using Agent Bricks. We’ll cover how to design multi-agent systems that combine retrieval, reasoning, and generation to answer complex questions grounded in your enterprise data. Along the way, you’ll see how to track experiments, fine-tune performance, and build workflows that are reliable, governed, and built for scale.

Building Production-Ready GenAI for Workplace Inclusion

As the dust begins to settle around the generative AI hype, real-world applications are finally taking shape, yet many organizations still struggle to turn promising MVPs into solutions that deliver measurable business value. Vy, Norway’s state-owned transportation company, faced this challenge. Working in Databricks, the team rapidly transformed their AI agent from a proof-of-concept into a true proof-of-value. By leveraging MLflow on Databricks, they built a production-ready generative AI system that outperformed the original MVP in both controlled testing and real-world usage. It also introduced key features such as automated evaluation, scalable deployment, traceable and auditable generations, and measured support for more than 40 languages. Join us to hear how the team achieved this acceleration from prototype to production, and learn their insights on how Databricks can be used to deliver reliable, scalable, and value-driving generative AI products.

Data Product Rooms: A Config-Driven Blueprint for Isolation, Governance, and Developer Experience

As our data platform scaled, teams increasingly faced challenges with shared workspaces, configuration drift, manual setup steps, unclear ownership boundaries, and inconsistent developer experiences. To address these issues, we developed Data Product Rooms—a config-driven, versioned, and modular blueprint for creating isolated, governed, and reproducible environments on our Databricks-based platform.

This session introduces Data Product Rooms as a scalable design pattern that abstracts platform complexity while strengthening governance and improving delivery speed. We will walk through the core architectural layers—identity, compute, access, security, DevOps integration, and governance—and show how these come together in a consistent Infrastructure-as-Code model. Attendees will learn how Data Product Rooms create predictable environment structures, reduce operational overhead, enhance cost transparency, and enable teams to onboard and deliver faster. We will also outline the current status of the initiative and how this blueprint will support a growing portfolio of data products across the organization.

Databricks SQL: Getting Started and What’s New with Live Demos

"New to Databricks SQL or just trying to keep up with everything that’s been added? This session gives you both. We’ll start with a fast-paced introduction to Databricks SQL, including how to set up a warehouse, load data, run queries, and build dashboards in just a few minutes. You’ll get a clear view of how the platform supports analysts, developers, admins, and business users with a simple and intuitive interface.

From there, we’ll dive into the latest features, with live demos and real-world use cases. We’ll cover the new SQL editor, coding enhancements, streaming tables, materialized views, BI integrations, system tables, observability, and cost management tools. We’ll also show how AI is being used under the hood to optimize performance and help you get the most out of your workloads. Whether you're just starting out or looking to stay current, this session will get you up to speed."

Democratizing insights at Bertel O. Steen

Bertel O. Steen recently migrated from their legacy on-prem DWH into a cloud-based modern data platform, where ownership, data quality, and clear definitions are embedded in how they work. With fully automated DataOps, they deliver reliable data products and enable the business to chat with their data and accelerate advanced analysis. We are now in a position to stop reporting on historical events and start focusing on sustainable value creation using AI and ML.

DSB AI track safety model in Copenhagen

This session explores DSB’s AI-powered track safety app deployed at Copenhagen train stations, focusing on the detection of "person on track" incidents using computer vision and machine learning. You will learn how the team tracked and detected persons on tracks with advanced ML models, and the key insights gained from real-world deployment. The talk covers the end-to-end machine learning workflow using MLflow, including managing hyperparameters, capturing training metrics, saving model artifacts, and handling Python dependencies. Discover practical tips on using the MLflow model registry and deploying models either through serving endpoints or direct integration within applications, ensuring robust and scalable safety monitoring at busy train stations.

Empowering Financial Services with Data and AI

Join the Financial Services Insurance Track to discover how data and AI are transforming finance. Engage with top innovators in banking and insurance, including Swedbank, and If Insurance, alongside Databricks leaders accelerating analytics transformation.What to expect:

Business imperatives: See how financial institutions drive growth, manage risk, and boost efficiency with advanced data strategies.

Transformative vision: Explore Databricks-powered solutions for fraud prevention, automation, and hyper-personalized experiences.
Hear about Swedbank RAMP, a unified platform for risk data and analytics built on Databricks, enabling secure, governed, and scalable risk processing. Learn about their architectural principles, journey to production, and the lessons learned modernising risk analytics for AI-driven workflows.
Learn how If Insurance established a robust Data & AI Center of Excellence to unify cloud-based analytics for hundreds of users and teams. Gain practical insights on scaling platforms, governance, and cross-functional collaboration to maximise business value from AI and data in insurance.
Cutting-edge trends: Stay informed with the latest advances shaping data-driven financial services.
Customer success stories: Learn how Nordic industry leaders are leveraging data and AI for sustained competitive advantage.

Ensuring product availability with Databricks

Product availability is about ensuring that products are easy to search for, find, choose and buy. They are available when and where people want them, however way they choose to shop. And by meeting their expectations of a seamless shopping experience, customers are more likely to buy products and become loyal customers. Thus, availability is a set of crucial KPIs for IKEA and all the contributors upstream and downstream in our value chain strive to maximise it. These KPIs have existed for many years and have only improved further with the expansion of IKEA across the globe. Migrating from on premises systems to Databricks has enabled this expansion. While enabling us to stay true to our commitment of availability, sustainability and affordability, the move allows us to have faster time to insights and value, and a more robust system which ultimately increases customer satisfaction.

From Complexity to Capability — A Modern Analytics Journey at Nordic Investment Bank

From fragmented silos to a unified cloud ecosystem, Nordic Investment Bank has reimagined its analytics landscape. By adopting modern cloud services, DataOps principles, and Databricks as a cornerstone, we’ve built a scalable, secure platform that accelerates development and ensures trusted data delivery. This transformation isn’t just about technology—it’s about enabling smarter decisions, driving sustainability, and creating a foundation for a truly data-driven future.

From Ideas to Impact: Scaling AI in the Energy Industry

Fortum’s Consumer Solutions business unit has undergone a significant transformation by consolidating multiple siloed data warehouses into a unified Common Data Platform (CDP), built on Databricks. This strategic move aims to democratize data access across the organization. Fortum has also begun implementing machine learning and AI on Databricks in various ways to drive innovation and efficiency. In this session, Fortum will share its approach to planning and prioritizing AI use cases in close collaboration between Business and IT, along with key lessons learned from its AI journey so far.

From Legacy Databases to a Modern Lakehouse: How Copenhagen Airport Accelerates Innovation with Databricks

Copenhagen Airport (CPH) set out to modernize its data landscape to support innovation and the strategic ambition of becoming more data-driven. Historically, data was siloed across costly on-prem SQL servers, limiting access and slowing analytics. By migrating to the Databricks Lakehouse, CPH has unified data, reduced costs, and built a scalable foundation for analytics and AI.

This session will explore how Copenhagen Airport modernized its data landscape by moving from traditional databases and ETL pipelines to a unified Databricks Lakehouse platform. The journey includes improving data accessibility, integrating complex operational systems, and enabling large-scale data processing across diverse sources. The transformation has strengthened data governance, reduced costs, and created a foundation for advanced analytics and AI use cases that support more efficient and data-driven airport operations.

From Pond to Lakeside Mansion – Learnings from a Petabyte scale Databricks Migration

Performing a live migration of a petabyte-scale data lake with data from over 1.8 Million connected customer assets can be a daunting task. In this session, Volvo Group Connected Solutions AB will share our key learnings and insights from our migration journey from AWS Native Data Solutions to Databricks ranging from Project Planning to Data Architecture and Technical Implementation. We will also share some of the values generated by the project so far, as well as a few pitfalls that we have encountered. So, join us for an intensive session full of tangible tips-and-tricks to make your migration journey a little less daunting.

Get Started with Data Warehousing

This course provides a comprehensive overview of Databricks’ modern approach to data warehousing, highlighting how a data lakehouse architecture combines the strengths of traditional data warehouses with the flexibility and scalability of the cloud.

You’ll learn about the AI-driven features that enhance data transformation and analysis on the Databricks Data Intelligence Platform. Designed for data warehousing practitioners, this course provides you with the foundational information needed to begin building and managing high-performant, AI-powered data warehouses on Databricks.

How Adevinta Localised Their Data Warehouse with Fivetran

Adevinta is a leading online classifieds group, operating digital marketplaces across Europe with over 120 million monthly users. As part of a strategic shift they set out to decentralize its data infrastructure and enable local autonomy. Within a year, the team transitioned from a central data lake to localized Databricks warehouses. To power this transformation, they turned to Fivetran as a reliable and scalable solution to integrate data from 40+ sources, including Google Ads, Salesforce, and Postgres. In this session, you will discover: - Key technical and organisational drivers behind Marktplaats’ decentralization strategy - How Fivetran streamlined data ingestion across 85% of sources in just weeks - Lessons learned while building scalable, autonomous data operations for local markets

How Flower uses Databricks to redefine renewable energy

Learn how Flower runs energy asset optimization at grid scale, using Databricks with Unity Catalog, as the control plane for data and ML. We’ll unpack the architecture patterns behind a dbt monorepo deployed with bundles, MLflow for logging/tracking, Modal for serverless compute and API orchestration, and freshly developed metrics views as the semantic layer. You’ll leave with technical insights and ways of working on how to scale your engineering efforts!

Introducing Lakeflow: The Future of Data Engineering on Databricks

Data engineering doesn’t have to be a patchwork of tools and handoffs. In this session, we’ll introduce you to Lakeflow, Databricks’ unified solution for building reliable, scalable data pipelines with less friction and more control. Whether you’re just getting started or managing complex workflows, Lakeflow brings together ingestion, transformation, and orchestration into one cohesive experience.

We’ll walk through the key components, including Lakeflow Connect, Declarative Pipelines, Jobs, and the new Lakeflow Designer—a visual interface that makes it even easier to build and manage pipelines with minimal code. You’ll see live demos of no-code ingestion, code-optional transformation, and unified orchestration across your data estate.

We’ll also share what’s coming next, including support for open source tooling and expanded no-code capabilities. You’ll leave with a clear understanding of how Lakeflow simplifies your stack, increases productivity, and provides a strong foundation for building high-performance, governed data pipelines at scale.

Lakebase: Fully Managed Postgres for the Lakehouse

Lakebase is a new Postgres-compatible OLTP database designed to support intelligent applications. Lakebase eliminates custom ETL pipelines with built-in lakehouse table synchronization, supports sub-10ms latency for high-throughput workloads, and offers full Postgres compatibility, so you can build applications more quickly.In this session, you’ll learn how Lakebase enables faster development, production-level concurrency, and simpler operations for data engineers and application developers building modern, data-driven applications. We'll walk through key capabilities, example use cases, and how Lakebase simplifies infrastructure while unlocking new possibilities for AI and analytics.

Powering a Carbon-Free Future: How Data and AI Drive Clean Energy Generation

The path to carbon-free energy is paved with data-driven decisions and AI-powered insights. In this session, energy industry leaders from Databricks join forces with experts from Vattenfall Hydro Power to explore how digital innovation is making clean energy generation a reality, right now, within one generation. Discover how advanced analytics, unified data platforms, and AI models are transforming everything from grid management to predictive maintenance, accelerating the transition to sustainable power. Hear firsthand how Vattenfall Hydro Power leverages data and AI to optimize operations, reduce emissions, and deliver on the promise of carbon-free energy. Leave with practical strategies to drive your own organization's sustainability journey, backed by real-world results and lessons from the front lines.

Smart Manufacturing in Action: Scaling Data and AI Across Global Enterprises with Epiroc and Sandvik

Industrial manufacturing is being redefined by the rise of data and AI but the real challenge isn’t just the tech. It’s making these tools accessible and valuable for everyone, from engineers to frontline operators. In this session, you’ll hear directly from Epiroc about their hands-on experience rolling out AI-driven solutions across their global business. Learn how they collect and leverage data from machines and processes, turn analytics into practical insights, and empower both technical and non-technical users to drive change. We’ll cover what works (and what doesn’t) when integrating AI into existing workflows, how to foster adoption across teams, and the results Epiroc has seen in efficiency, quality, and decision-making. If you want a real-world look at what it takes to scale data and AI in industrial manufacturing, without leaving anyone behind, this session is for you.

Unity Catalog: From Foundations to Best Practices

Whether you are just getting started with data governance or working to scale it across the enterprise, this session will walk you through how Unity Catalog helps simplify secure access, discovery, and collaboration for data and AI.

We will start with the fundamentals of Unity Catalog, explain how it works, and why it plays a central role in governing data and AI across clouds, teams, and workloads. Then we will dive into the latest product updates, including live demos that show new capabilities in access control, lineage, discovery, and monitoring. You will also get a first look at upcoming features and hear insights from customers already running Unity Catalog in production.

The session wraps with clear guidance on how to design and roll out Unity Catalog effectively. We will cover how to structure catalogs, manage permissions, and build for multi-cloud and multi-region environments. If you want a practical understanding of Unity Catalog and how to apply it in your organization, this session is for you.

Women in Data Lunch & Panel

As AI reshapes every industry, new opportunities and roles are emerging that demand both technical expertise and fresh ways of thinking. This Women in Data + AI panel explores how organizations can build and nurture talent with the skills needed to thrive in the AI era, while also ensuring more women are brought into these transformative roles. Leaders from across the ecosystem will share their perspectives on role models, allyship, and creating inclusive pathways into AI. Hear real-world stories of customer success, the lessons learned along the way, and how we can collectively shape a future where diverse talent drives innovation and impact.

This session is open to everyone to attend.

Event details and FAQExpand allCollapse all

How much does it cost to attend the Data + AI World Tour?	All Data + AI World Tour stops are free to attend.
I am having difficulties registering. How can I get help?	Please email world-tour-support-stockholm@databricks.com.
How do I register for training?	Scheduling for training will launch closer to the event. An email will be sent notifying you when scheduling is open in the session catalog.
Will you be providing meals with dietary restrictions in mind?	We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support-stockholm@databricks.com and we will do our best to accommodate.
Where is the event located?	The event is held at the Stockholm Waterfront, Nils Ericsons Plan 4, 111 64 Stockholm, Sweden.
Are there other Data + AI World Tour locations I can attend?	Visit our Data + AI World Tour page to see all our tour stops. Check out our events page for upcoming Databricks events.