The freedom data science teams need delivered by a cloud-native service that works for IT.
CDP Machine Learning enables enterprise data science teams to collaborate across the full data lifecycle with immediate access to enterprise data pipelines, scalable compute resources, and access to preferred tools. Streamline the process of getting analytic workloads into production and intelligently manage machine learning use cases across the business at scale.
CDP Machine Learning optimizes ML workflows across your business with native and robust tools for deploying, serving, and monitoring models. With extended SDX for models, govern and automate model cataloging and then seamlessly move results to collaborate across CDP experiences including CDP Data Warehouse and CDP Operational Database.
TAKE AI FROM CONCEPT TO REALITY
SCALE MACHINE LEARNING WITH MLOPS
ENABLE EXPLORATORY DATA SCIENCE
Take AI from concept to reality
Reduce your time to value and get AI applications off the ground.
Whatever industry you’re in, business challenges are arriving faster than ever. Increasingly it takes AI and ML tools to keep pace. You may feel pressure to deliver a strategy that puts AI applications into practice. CML with CDP is the unified data platform that will help you move AI from the lab to the factory.
Scale machine learning with MLOPS
Benefit from improved transparency, collaboration, and ROI with MLOps.
MLOps helps you capitalize on early successes and scale up, following steps to keep existing models current, and establishing controls to maintain data security and governance through the entire production ML lifecycle.
Enable exploratory data science
Compress the space between data exploration and business action.
Cloudera offers a complete platform that provides data science teams with “certified datasets,” as well as consistent and robust tooling to make data explorations, ad-hoc data science, and insight generation as fast as possible.
Ready to take a deeper look?
Experience Machine Learning on Cloudera Data Platform for yourself
CDP Public Cloud
- Multi-cloud ready: Don’t get locked into a single cloud provider. Power your AI initiatives holistically with data from anywhere
- Scalable: Leverage scalable and auto-suspending compute resources that you only pay for while in use
- Full lifecycle integration: Seamlessly and securely share workloads and outputs across CDP experiences including Cloudera Data Engineering and Data Warehouse
CDP Private Cloud
What customers say about Cloudera Machine Learning
“Integrates seamlessly with the other CDP experiences, enabling rapid realization of insights from your data. I especially appreciate the flexibility and openness.”
Analytics Solution Architect
Energy and Utilities Industry
“One-stop-shop for your data science needs. Managing multiple sessions, automating data pipeline jobs, and even creating machine learning apps are all easy and intuitive.”
Model Development Expert
“Excellent platform for any type of ML and Data engineering project. Provides an easy path to develop and test code as well as ML performance tracking.”
Big Data And Analytic Architect