Most machine learning models fail not at training, but in production where customer trust and business outcomes are on the line. This overview and demo focuses
Building Trust in Production ML: A Complete Guide to Model Observability Read More »
In this technical deep dive, explore the full lifecycle of deploying and monitoring machine learning models in production using Seldon on Kubernetes. The session uses
Production ML Serving & Monitoring with Seldon & Kubernetes Read More »
This comprehensive session breaks down the EU AI Act: Europe’s landmark regulation for governing AI systems. The webinar explains the legislation’s structure, timelines, and practical
Europe’s Landmark Regulation: What You Should Know Read More »
In this developer-focused session, Seldon explores how to deploy, optimize, and manage LLMs and other foundation models in real-world environments. He demystifies common deployment strategies
The Foundation of AI-Enabled Apps Read More »
In this developer-focused session, walk through a wide variety of model deployment strategies – from classic ML pipelines to embedded deployments, model-as-a-service, and edge use
An Essential Guide to ML Model Serving Strategies (Including LLMs) Read More »
We put DeepSeek’s R1 reasoning model to the test in a live demo showcasing how context windows impact LLM performance in real-world scenarios. Using Seldon
DeepSeek Reasoning, the Cake Mystery Read More »
Dive into advanced LLM orchestration with Seldon’s on-demand demo featuring the DeepSeek 14B model designed to handle large context windows and deep reasoning tasks. In
DeepSeek R1 (14B) – Vanishing Ambassador Mystery Read More »
Learn how to build a production-ready ML pipeline that combines large language models (LLMs) with traditional ML using Seldon Core 2. In this demo-led session,
LLM Loan Processing LLM Loan Processing Pipeline Read More »
In this session, the Seldon team unveils the new Model Performance Metrics (MPM) module, designed to help teams monitor classification and regression models in production
Monitoring ML with Seldon’s Model Performance Metrics Module Read More »
Join Seldon’s SVP of Product Tanu Chellam to explore why traditional, model-centric approaches are no longer enough for modern machine learning systems, and how a
Data-Centricity Explained: How to Keep Data at the Core of Your MLOps Read More »
