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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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