76 H2O.ai Testimonials

“So we wondered. Can we find out ahead of time who these patients are who are likely to crash and be rushed to the ICU, and can we do something about it."

"H2O just makes modelling so much faster, not only to produce data products but we also created a platform for our customers."

"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."

"H2O Sparkling Water allowed us to do rapid prototyping with a wide variety of algorithms."

"Driverless AI is a unique product because it solves so many problems in data science out-of-the-box."

"We reached 90% accuracy in the real-time deployment and our results were in-sync with the training phase, which was really good."

"I trained and scored on the entire data set, not a sample, and it was orders of magnitude faster than other tools. Kudos to H2O."

"With H2O we are able to build models quickly so we can find patterns that we can use right away."

"H2O has been a great partner for us for deploying Ignite solutions for some of our top clients."

"We use H2O and Spark for our bigger models. It is easy for us to deploy models with H2O."

"With H2O we saw how faster processing and faster access to data can help us and that we don't need to sample anymore."

"H2O has been the driver for building models at scale. We are talking about billions of claims. You can't do this with standard off the shelf open source techniques."

"The ability to do advanced analytics and do more work across the data is going to be the differentiator for insurance companies going forward."

“This was a huge win for our customers, and for the teams who are responding to these types of incidents. Even the most impressive results are not useful unless the team we are producing them for is able to take this information and actually use it. Having measurable results that show that we are beating the company’s current metrics is a great way to prove to other teams that we have something they can actually use and add to their current methods, to better serve our customers.”

“It’s not just a question of how to work with large volumes of data. It’s a question of how to work with large volumes of data, super fast. MarketShare DecisionCloud facilitates the transition from predictive to prescriptive to automated analytics. H2O is at the center of this process.”