"The automation of the data science process reduced time and costs. And time is money. So, you can do more with the same amount of time. It's possible to deliver more value to the business, develop more use cases and focus the data science effort in the use case instead of development tasks."
"I am very excited to use the H2O Driverless AI because prior to it, we used to spend weeks hyperparameter tuning etc., but with Driverless AI, one experiment takes just a few hours."
“We use H2O where it shines in terms of model training and scoring.”
"With H2O we are building models to improve the patient experience in our hospitals and improve the nursing and doctor workflows as well."
"H2O Driverless AI gives amazing performance in terms of feature performance and also model performance."
"Digital ad campaign optimization engines need to obtain machine learning predictions within a few milliseconds."
"You can only apply AI if you have data. 'Data-nize' everything."
"AI drives yield prediction and production quality."
"H2O just makes modelling so much faster, not only to produce data products but we also created a platform for our customers."
"Benefit of H2O is that it's really, really fast!"
"The H2O integration with Spark gives you the best of both worlds: Data munching in Spark and model training in H2O."
"One of the many reasons we like working with H2O is H2O's ability to customize and build new teams, working with my team of modelers!"
"H2O is an easy to use, scalable and powerful platform."
"H2O allowed us to interface directly with our existing application and it scales for our massive data set. There is nothing else like it."
"There is no limit to scaling with H2O."