We will explore synergies between ML Platforms and Graph Algorithms, and focus on how they can boost productivity and at the same time refine predictive models. Discover how this dynamic combination is shaping the future of machine learning, empowering teams to achieve new levels of efficiency and accuracy. 

After this seminar, you will:

• Understand the tangible benefits of ML platforms in enhancing productivity and ensuring compliance (e.g. with the EU AI Act). 
• Discover the power of graphs as predictive tools.
• Learn more about feature engineering with graphs, unlocking innovative ways to leverage graph structures for enhanced predictive modeling.

The space has limited seating so please RSVP.

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Agenda:

08:00 AM - 08:30 AM: Registration & Breakfast

08:30 AM - 09:15 AM: Boosting Productivity & Compliance: The ML Platform Advantage - Rik Van Bruggen, VP EMEA, Hopsworks

• Showcasing the potential of Hopsworks, an ML Platform suitable for novices and experts alike, illustrating the seamless creation of a complete ML system from start to finish.
• Provide insights into the management, governance, and operational dimensions crucial for enabling technical teams to efficiently deploy not just one, but multiple ML projects.
  

09:15 AM - 09:30 AM: Coffee Break

09:30 AM - 10:15 AM: Using Graph Algorithms to help improve Predictions - Håkan Löfqvist, Field Engineer, Neo4j

• Introduction to graph algorithms
• Feature engineering with graphs

10:15 AM - 11:00 AM: Networking

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