H2O AI and Microsoft
H2O and Microsoft work together to simplify how organizations create and consume machine learning models on Azure. Data scientists can deploy models built on the H2O Sovereign AI Platform into Azure Machine Learning, so other Azure services can call them as a standard Azure service. Teams keep their existing Azure infrastructure and deployment practices while adding H2O models to their business processes.
Partnership overview
H2O models as an Azure service
Most organizations use technology from many vendors to cover the range of needs and use cases across the business. Services in the Microsoft Azure ecosystem can call H2O models with a simple Azure call, so teams deploy and reuse H2O models inside Azure and combine the capabilities of both. Teams pick the best tool and deployment technology for each use case.
“H2O's integration with Azure provides an innovative approach to deliver models as an Azure service, resulting in higher model adoption across Momentum Financial Services Group. As an example, 80% of credit checks are now reviewed using H2O models and more than 6K requests a day.”
Nima Norouzi
Director of Advanced Analytics, Momentum Financial Group
Make, operate, innovate
- Make. Build highly accurate, in-memory machine learning models quickly and with confidence.
- Operate. Access models across your IT estate with no change to existing deployment strategies.
- Innovate. Integrate AI into your current business processes for faster time to value.
How it works
Deploy and manage models built with H2O in a secure Azure Machine Learning environment.