"In order to be able to create something awesome like a great data science team, we need to be able to take those chances organizationally with people so as to produce those great outcomes we have been looking for."

"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 …

“H2O.ai continues to innovate and define what’s next in AI. With their partnership, we’re moving faster, delivering more value, and co-creating new AI products.”

"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 …

“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.”

“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."