76 H2O.ai Testimonials

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  • "With H2O Driverless AI, we have seen improvements in the models and the results we were able to deliver for our clients. In one case we saw a 700% increase in cost savings, for a campaign costs with an 11% improvement in overall ROI. From an internal perspective, we've seen a reduction in our model development times significantly. Driverless AI allows us to tune models faster and gain insights out of the entire process."

  • "When it comes to developing artificial intelligence products the deployment is where most platforms fall short and with H2O we've got the mojo implementation that essentially simplifies that to the point of being a java object that you incorporate to your platform. That's fantastic!"

  • "We’ve built our internal AI-as-a-Service (AIaaS) platform leveraging H2O’s AI Cloud services, and we believe the co-invention and co-development of H2O AI Feature Store is going to be one of the most impactful elements in our platform. With the H2O AI Feature Store, we’re building AI solutions that are much faster, more accurate and robust in a fraction of the time."

  • “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."

  • “We use H2O where it shines in terms of model training and scoring.”

  • “H2O.ai Machine Learning is one of the cooler things that we are working with in order to help us solve problems in a way that’s really valuable for the organization.”

  • “H2O enables us to operationalize more easily. As we train a model, we can export it as a Java code or we can use H2O instances as a web service to build some intelligent apps based on our models.”

  • "H2O.ai provides impressively scalable implementations of many of the important machine learning tools in a user-friendly environment. Allowing for free academic use sets a generous example for commercial software developers — it is also the way forward in the era of open-source software."

  • "Using H2O.ai in our AI curriculum gives students a better understanding of machine learning techniques in a shorter period of time. Especially the ability to visualize and explain data inputs and explainable model outputs opens up machine learning to non-technical students in business degrees."

  • "I've been using H2O and autoML in my research on advertising effectiveness. Now with the Academic Program, we can use Driverless AI as an introduction to AI, and an illustration of modern enterprise use of AI for analyzing cross-sectional data, time-series data and NLP problems for teaching students: A dream come true!"

  • "Generally, at best, we could do things once a month or once a quarter. With H2O, things are more real time and a lot more faster. Rather than people spending resources, managing the databases and running the queries, they can spend time understanding the results and we can interpret it and translate it into proper management actions."

  • "Working with H2O team over the last year specifically has been quite great because you have a great customer support team who have always been reaching out to us for problems that we are facing - either hosting Driverless AI or doing any experimentations. We have had really good experience with the customer support team with not only collaborating on certain use cases, but also in getting some insights on what are the next products that are coming in and when we should be upgrading our systems."

  • "By leveraging H2O to power our SmartJourney® methodology in order to predict future customer behavior, we’re able to do this in a much more powerful way."

  • "By using H2O Driverless AI for automatic machine learning, we are able to more quickly deploy our proprietary algorithms that allow us to provide credit to students and the underserved. H2O.ai helps us to save considerable time and scale quickly even with a smaller data science team."

  • "H2O Driverless AI has been a great tool to help us build at a rapid pace. There are some models that take several months to build and iterate over, and I think with Driverless AI, you can get that done in weeks."