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ML Systems in 2026: Scaling from Experiment to Production

ML Systems in 2026: Scaling from Experiment to Production
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ML Systems in 2026: Scaling from Experiment to Production

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December 17, 2025
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5:30 pm
CEST
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CEST
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AI Sweden Stockholm

This panel brings together leading experts to address one of the biggest challenges in modern AI, successfully taking machine learning from experimentation to production.

As organizations accelerate their AI strategies, the ability to operationalize ML effectively has become a key competitive advantage. This event brings together leading voices in AI and ML infrastructure for a dynamic panel discussion on how teams can build systems that go beyond notebooks to deliver scalable, production-ready architectures. Together, we’ll explore what production ML will look like in 2026 and what it truly takes to get there.

Our expert panel will dive into:

  • How to move from notebooks to modular, production-grade ML pipelines
  • How real-time data, context, and agentic AI are reshaping production ML
  • Practical lessons from enterprises scaling ML in production environments

The session will also feature the official launch of the new O’Reilly book, Building Machine Learning Systems, authored by Jim Dowling, CEO and Co-Founder of Hopsworks. The book takes readers through the evolution of ML systems combining batch data, real-time streams, and Agentic AI into robust production pipelines.

Come together with fellow practitioners for an open discussion over food and drinks, a book giveaway, and great conversations about the future of MLOps and AI infrastructure as we wrap up the year.

Moderator: Jim Dowling, CEO and Co-Founder, Hopsworks

Panel Speakers: 

Agenda: 

  • 17:30 PM - 18:00 PM: Registration
  • 18:00 PM - 18:15 PM: O’Reilly Book Introduction  
  • 18:15 PM - 19:15 PM: Panel Discussion: ML Systems in 2026
  • 19:15 PM - 19:30 PM: Open Q & A Session
  • 19:30 PM - 20:00 PM: Networking

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