All right!!!

We're happy to announce that this year's Stockholm MLOps Winterbash!!! will happen December 11. This time, we'll be teaming up with IBM and once again, we'll round off the year with show-casing what some really amazing local start-ups are doing with AI.

Also, AI Sweden will be onsite to record the presentations and publish them on their Youtube-channel! Once edited, they will appear here.

The program details are still being worked out, so stay tuned for further updates!
 
Date: 11 December 2025
Time: 17:00 - 21:00 CET
Location: IBM Innovation Studio, Vasagatan 16

Event Program

- Doors open at 17:00 CET
- Talks begin at 17:45 CET
- There will be light food & drinks
 
Speakers: 
Stefan Palm, Solution Architect at IBM will give a talk titled "Build smarter AI with IBM Open source, from models to Generative Computing." Abstract: Let us explore the current status of IBM initiatives in the AI Open Source community. We will look at the most popular projects you should know about, understand where the latest Granite models may be an option, and also peek a bit into what might be a next way of using LLMs, using a new framework for what we call Generative Computing.
 
Anders Hammarbäck and David Österdahl, Co-Founders of Redpine AI will give a talk titled: "Unlocking the value of proprietary data for AI". Abstract: TBD...
 
Theodore Bergqvist, Co-Founder of Turbotic will give a talk titled: "How Anyone can Automate Anything. Democratize Automation". Abstract: "Real transformation happens only when everyone can participate. If AI tools are limited to a small group of specialists, companies and organizations will struggle to make meaningful progress. Turbotic makes automation and AI accessible to everyone, enabling individuals across the organization to streamline their work. Turbotic will demonstrate how the latest AI technology works in practice and show how anyone—regardless of technical background—can use it to automate tasks and processes. With intuitive, powerful tools, people in all roles can easily remove repetitive work and improve efficiency in their daily workflows.
 
Rasmus Sanne, CEO of Stardust will give a talk titled: "From hackathon project to €1.7M investment in 7 months". Abstract: Stardust is building the self-learning mind for marketing. AI that understands why ads sell by decoding the visual and verbal DNA behind high-performing creatives.
 
Karoly Szipka, Founder & CEO of IPercept will give a talk titled "Unlocking the last generation of industrial machine efficiency". Abstract: Purpose-built for CNC (Computer Numerical Control) machines, IPercept boosts production and maintenance teams with an AI assistant that gives them the insights they need to improve machine reliability, quality, and capacity.
 
Sebastian Hjärne, Founder and CEO of Talentium will give a talk titled: "Hiring in the AI Era: How Talentium is Rewriting the Hiring Playbook". Abstract: In a world where recruitment is broken—slow, biased, and built on outdated tools—AI has the potential to fundamentally reset how teams are built. In this session, Sebastian explores how Talentium’s AI agents transform hiring by combining human judgment with intelligent automation across sourcing, assessment, and candidate engagement. Participants will walk away with a clear understanding of how next-generation hiring works, why it restores the human in recruitment, and how modern teams can scale smarter, faster, and more sustainably with AI.
 
Mika Leberstein Lundberg, AI Software Engineer at Sana will give a talk titled: "From Hype to Reality: Why We Built AI Slides Backwards (And What We Learned)". Abstract: While building AI-generated slide decks at Sana, our first approach went all-in on letting the model produce full HTML. The demos were beautiful, but in production it proved expensive, slow, insecure, and hard to control. This talk covers how we moved from impressive-but-chaotic HTML generation, to the structured JSON+HTML system we rely on today. We'll share what this journey taught us about building enterprise AI: why flashy flexibility doesn’t scale, how smart constraints boost reliability, and what it takes to ship AI features that teams can trust.
We look forward to seeing you there,

/Patrick & the Stockholm MLOps Team

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