Joshua Fox
Senior Cloud Architect II, DoiT | Israel
Talk
Growing Machine Learning to Production: Cloud MLOps for Speed and Efficiency
ML startups often begin with projects on a single researcher's machine or VM. As the company grows, scaling for production requires robust automation to eliminate manual OS management and reduce infrastructure costs. In this talk, we explore the end-to-end automated MLOps lifecycle using Gemini Enterprise Agent Platform: from managed notebooks and black-box hyperparameter tuning to autoscaling inference endpoints, experiment tracking, model registries, drift monitoring, and managed pipelines.
To avoid the "MLOps tarpit",the trap of building generic infrastructure in-house,I will share simple rules for transitioning to managed services. We will focus on identifying the right time to adopt cloud-native solutions, ensuring you scale efficiently without reinventing the wheel or wasting resources on internal solutions that could be offloaded to managed platforms.
About Joshua Fox
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