How To Efficiently Manage ML and GenAI experiments using Amazon SageMaker ML Flow | AWS OnAir 2024

Amazon SageMaker offers a managed MLflow capability for machine learning (ML) and generative AI experimentation. This capability makes it easy for data scientists to use MLflow on SageMaker for model training, registration, and deployment. Admins can quickly set up secure and scalable MLflow environments on AWS, and data scientists can efficiently track ML experiments and find the right model for a business problem.
Read more About Amazon SageMaker with ML Flow awsonair.net/3...
Follow AWS OnAir
Twitch bit.ly/Twitch-...
LinkedIn bit.ly/AWSOnAi...
ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers-including the fastest-growing startups, largest enterprises, and leading government agencies-are using AWS to lower costs, become more agile, and innovate faster.
#machinelearning #mlflow #AmazonWebServices #CloudComputing #AmazonSageMaker #ML #genai #RobbieBelson #gigiboehringer