Technologies in MLOps and DataOps Automation
ML/DataOps automation technologies streamline the deployment, monitoring, and management of machine learning models and data pipelines. They ensure continuous integration and delivery of ML models, improving efficiency and reducing the time to market for AI solutions, and ensuring robust and reliable AI operations.
See technologies we use in MLOps and DataOps Automation
Kubeflow
Apache NiFi
TensorFlow Serving
TensorFlow Federated
TensorFlow
Snowpark ML
Snowflake
Seldon Core
MLFlow
Liquibase
KFServing
Grafana + Prometheus
GitLab
GitHub
Git
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