🔹Data Science meets engineering - the story of the MLOps platform that unlocks your data science team.
🔹Michał Bryś, Marcin Zabłocki
The selection of managed and cloud-native machine learning services where you can run your data science pipelines and deploy trained models is growing every day.
Leveraging the capabilities of available platforms for machine learning like Amazon SageMaker, Google Vertex AI, Microsoft Azure, Kubeflow, and Snowflake while securing your organization against vendor lock-in is challenging.
In this presentation, you will learn how we have built a production-grade, cloud-agnostic MLOps Platform.
By incorporating trusted technologies such as Kedro, MLflow, and Terraform, we streamline AI/ML workflows and enhance productivity, enabling your team to concentrate on what they do best: creating impactful solutions that generate results.
Негізгі бет M. Bryś, M. Zabłocki - Data Science meets engineering - the story of the MLOps platform that unlo...
Пікірлер