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Low-latency Model Inference in Finance - A Close Look at Seldon V2

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

MLOps Courses Machine Learning Courses Fintech Courses Fraud Detection Courses Model Deployment Courses Service-Oriented Architecture Courses

Course Description

Overview

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Explore the critical aspects of model inference in the finance sector through this 30-minute conference talk from MLOps World: Machine Learning in Production. Delve into Capital One's approach to deploying machine learning models in production environments, focusing on the challenges of high resilience and low latency service response. Learn how Seldon V2 addresses these demands, enabling crucial business applications like credit decisions and fraud detection. Gain insights from Vincent David, Senior Director of Machine Learning, and Michael Meredith, Lead Software Engineer at Capital One, as they discuss the implementation of service-oriented architectures for model inference in the fintech industry.

Syllabus

Low-latency Model Inference in Finance - A close look at Seldon V2


Taught by

MLOps World: Machine Learning in Production

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