{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Machine Learning Operations — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Machine Learning Operations (MLOps)</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A set of practices and tools that streamline the process of deploying, monitoring, and maintaining machine learning models in production. MLOps bridges the gap between data science and software engineering, bringing the reliability and repeatability of software development to AI systems.</p><a href=\"https://gaks.ai/glossary/machine-learning-operations\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/machine-learning-operations →</a></div>"}