https://romanoroth.com/en/tags/mlops/Recent content in MLOps on Romano RothHugo -- gohugo.ioenRomano RothMon, 05 Aug 2024 00:00:00 +0000https://romanoroth.com/en/blogs/unlocking-the-power-of-ai-deep-dive-into-mlops/Mon, 05 Aug 2024 00:00:00 +0000https://romanoroth.com/en/blogs/unlocking-the-power-of-ai-deep-dive-into-mlops/<p>Have you ever wondered how companies build those impressive AI applications and keep them running reliably in production? In this video, I take a deep dive into MLOps, the discipline that makes it possible to continuously develop, deploy, and improve machine learning solutions at enterprise scale.</p>https://romanoroth.com/en/speaking/mlops-from-prototypes-to-production/Mon, 22 Jul 2024 00:00:00 +0000https://romanoroth.com/en/speaking/mlops-from-prototypes-to-production/<p>Many organizations build machine learning prototypes that never make it into production. MLOps provides the practices, culture, and architecture to bridge this gap.</p> <h2 class="relative group">What This Talk Covers <div id="what-this-talk-covers" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#what-this-talk-covers" aria-label="Anchor">#</a> </span> </h2> <p>This presentation outlines how MLOps helps organizations move machine learning from isolated prototypes into reliable production systems. It frames MLOps as more than a technical setup: a mindset, culture, and set of practices that unify development and operations across the full ML lifecycle, including experimentation, training, deployment, serving, monitoring, and retraining.</p>