MLOps Engineering & Coding Best Practices with Maria Vechtomova #48
AI Stories
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Navigating MLOps: From Model Building to Deployment
This chapter explores the speaker's MLOps journey at KPN, emphasizing the 'Model Factory' initiative aimed at optimizing model deployment for data scientists. It discusses the challenges faced in deploying a fraud detection algorithm, highlighting the collaboration with software engineers and the importance of infrastructure monitoring for maintaining model reliability. The chapter stresses ongoing performance evaluation and advanced monitoring techniques necessary for ensuring accurate predictions and system resilience in high-stakes applications.
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