Machine Learning, Agents & Generative AI Stage on DIS 2026 – What to Expect 

M1 Stage at Data Innovation Summit 2026 Stockholm M1 Stage at Data Innovation Summit 2026 Stockholm

The Machine Learning, Agents & Generative AI Stage at the 11th Data Innovation Summit is where the theoretical meets the industrial, offering a high-octane look at the next phase of the autonomous enterprise. 

Day 1: May 6th

This year, the energy in Stockholm, Sweden is centered on the shift from isolated pilots to scalable, agentic ecosystems that redefine operational reality. Goran Cvetanovski, founder of Data Innovation Summit and Hyperight AB will open the event, and attendees will experience a powerful narrative arc. It will include the human element as Andy Cotgreave (How To Speak Data) explores “Why Human Insight Is More Important Than Ever in the Age of AI”, ensuring that even as we automate, the clarity of our “data storytelling” remains the compass for strategy.

The conversation then pivots sharply toward the bottom line with back-to-back sessions on “Show Me the Money: Making AI Deliver Real Value”. First, Maria Wiss (Snowflake) provides the perspective of a Regional Vice President on aligning AI initiatives with measurable business impact. Following this, Stephen Brobst (Ab Initio Software) offers a CTO’s technical plan on architecting the high-performance pipelines necessary to turn that “value” into a scalable reality. The day’s momentum culminates in a highly anticipated closing keynote by Angelo Rivano (DELL Technologies), who will tie together the physical and digital threads of the summit, providing a practitioner’s model for navigating the complexity of the data center to the edge.

On the first day, the M1 stage will also include some of the following speakers: 

  • Sara Hajian – Director of Applied AI | Trustpilot
  • Adam Segal – Senior Solutions Engineer | Cloudera
  • Julian Bright – Former Member of Technical Staff at xAI
  • Nour Qweder – Senior Data Scientist & Hanna Häger – Data Scientist | Toyota Material Handling Manufacturing Sweden
  • Kristof Neys – Graph Data Science Director | Neo4j 
  • Henrik “Henok” Lindström – Product Lead | Spotify
  • Nicola Holmes – Lead of the Data, Analytics & AI Center of Excellence | Kemira & Janne Sipilä – Director Business Development | Twoday
  • Guillaume Blaquiere – Group Data Architect | Carrefour
  • Nouamane Tazi – ML Research Engineer | Hugging Face
  • Henrik Göthberg – Founder/CEO | Dairdux

It will include the Future Outlook | A dialogue between Anders Ynnerman – Executive Chairman | Sferical AI and Anders Arpteg – VP AI & Data | Saab Group

The stage will be supported by Sara Hajian as a Moderator and Cloudera as a Stage Partner. 

Day 2: May 7th

Leading the charge from the first day, Kevin Shin (Samsung Semiconductor Inc.) will deliver a session titled “From Defense to Offense: How AI and Security Unite to Power the Next Industrial Revolution”, redefining cybersecurity as a proactive engine for growth rather than a mere protective shield.

The technical and organizational momentum continues with David Meyer (Databricks), who will explore “The role of AI in changing company structures and dynamics”, offering a take on how the shift toward agentic intelligence is fundamentally rewriting the corporate playbook. Yasmeen Ahmad (Google Cloud) will take the stage, providing a high-level strategic perspective on how cloud ecosystems are evolving to support these complex, interconnected intelligence layers. Complementing this structural deep-dive is the industry’s foremost authority on data foundations, Joe Reis (best-selling author of Fundamentals of Data Engineering), who will present “Mixed Model Arts: Data Modeling in the Age of AI”. His session promises to be a pivotal moment for architects, reimagining how we structure the “integrity of the substance” to feed the increasingly hungry and sophisticated models of 2026. 

Day 2 on the M1 stage will include sessions from: 

  • Moderator Sara Hajian – Director of Applied AI | Trustpilot
  • Dael Williamson – Field CTO | Databricks
  • Saurabh Atri – Staff Software Engineer | LinkedIn Corporation
  • Teemu Jokinen – AI Expert | SAP Finland
  • Åke Edlund – Chief Architect – Analytics & AI; Head of AI & Exploration (acting) & Tarek Abouzeid – Lead AI and Data Platform Engineer | Telia Company
  • Linus Gisslén – Lead Research Scientist | SEED – Electronic Arts
  • Martin Dlask – Senior Principal AI/ML Engineer & Damian Taranto – Principal AI/ML Engineer | King (part of Microsoft)
  • Thore Bücking – Staff Data Scientist & Liniker Seixas – Associate Director – Recommendations | Truecaller

This technical stage will bring applied machine learning engineers, data scientists, AI practitioners, and enterprise innovators together to move from pilots to scaled deployments and embed AI agents into real business processes. This year’s focus is on deploying and scaling generative and agentic AI, multimodal model advancement, agentic workflows, industry case studies, and innovation in ML pipelines.

Together, these speakers offer a holistic blueprint for leaders ready to transition from experimentation to a robust, AI-first industrial reality.

Join the Vanguard of the Autonomous Enterprise

The transition from AI experimentation to industrial-scale reality is happening now. Whether you are an ML engineer, a data architect, or a business leader, the M1 stage at DIS 2026 is your roadmap for the year ahead.

Secure Your Spot: Request the full agenda and reserve one of the remaining tickets today.

See you in Stockholm!

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