{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"AWS SageMaker — 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;\">AWS SageMaker</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">Amazon's fully managed cloud platform for building, training, and deploying machine learning models at scale. SageMaker provides an integrated environment covering the full ML lifecycle, from data preparation and model training through deployment and monitoring, and is widely used by enterprises already operating within the AWS ecosystem.</p><a href=\"https://gaks.ai/glossary/aws-sagemaker\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/aws-sagemaker →</a></div>"}