H2O.ai Primary Use Case

Rahul Koduru
Director of Data Engineering at Transamerica
Our primary use case is for data science. Some of our data scientists use it pretty heavily to build models. View full review »
ArnabSen
Associate Principal at a consultancy with 501-1,000 employees
I am a solution architect and a consultant, and I use H2O as a machine learning platform. I create ensemble models using R and H2O, tune the hyperparameters, and then deploy them. There are various use cases for this solution. One of the ones I worked on was a trailer forecasting solution. The customer wanted to understand the preload capacity that would be needed to have on hand so that they could call upon the right sized trailers and the right packages. It was a problem of logistics where you had to determine how many trailers were required in order to ship the packages being transported, and also have them ready just in time. View full review »
MvpOfMac4841
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
Our primary use case is machine learning. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: October 2020.
442,283 professionals have used our research since 2012.
DataScie1afc
Data Scientist with 51-200 employees
We use it for building models with large amounts of data. View full review »
reviewer1007100
Supervisor in Research and Development Area with 1,001-5,000 employees
The idea is to migrate the current model's development practice to another platform. Then after, try to create a proprietary platform using R and Python. The company is interested in using an external platform in order to have an updated environment. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: October 2020.
442,283 professionals have used our research since 2012.