Upcoming Webinars & Events

Join  us in-person or online to hear from Meryem Arik for best practices for optimizing, serving, and monitoring LLMs, and Nikolai Turusin as he reveals how ANNA slashes LLM costs with batching and prompt caching techniques

Join to walk through a practical notebook showcasing real-world integration strategies, accompanied by key insights into Seldon’s Core 2 and best practices in how to streamline your ML workflows with MLFlow integration.

MLOps London

Join a thriving community for people tackling the challenges of deploying ML and AI at scale.

Our meetups offer a space to share insights, learn, and hear from industry leaders on tools, challenges, and best practices.

Want to be a speaker?

Reach out to [email protected] 

Explore Previous Webinars

Building Data-Centric Machine Learning at Scale with Seldon Core 2

This webinar covers: 

  • The methodology behind Core 2 and its purpose-built design for data-centric ML challenges.

  • A demo detailing how Core 2 promotes data-centricity including building modular ML applications and monitoring those systems in production

How to make ML Model Experimentation Easier with Seldon

This session explores how to effectively test and deploy ML models using Seldon Core, covering:

  • ML Experimentation Strategies: A/B testing, canary deployments, and shadow mode testing for safe and controlled model rollouts.
  • Overcoming Deployment Challenges: Handling model routing, scaling, versioning, and performance tracking to ensure smooth experimentation.
  • Demo walkthrough: Setting up experiments in Seldon Core, plus insights on advanced use cases like sticky sessions and model-specific routing. 

The EU AI Act: What MLOps Teams Need to Know

In this session, we break down the key aspects of the EU AI Act, including:

  • EU AI Act Overview & Risk Categories: Understanding prohibited, high-risk, and limited-risk AI classifications, along with compliance obligations for providers and deployers.
  • Regulatory Timelines & Compliance Readiness: Key deadlines for AI legislation enforcement and practical steps to prepare, including post-market monitoring requirements.
  • Seldon’s Approach to Compliance: How Seldon’s data-centric architecture, model versioning, explainability, and monitoring tools support compliance with AI risk management and regulatory frameworks.
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