H2O AI Cloud

Its a versatile platform which empowers businesses to implement AI solutions efficiently.

H2 AI cloud has facilitated development , deployment and management of AI models and applications for our organization. It provides cloud based environment with tools for data preprocessing, model training and deployment which makes it easy to integrate AI capabilities into business processes.

H2O Driverless has blown me away. I have always been skeptical of auto-ML solutions for the past 10 years as I have seen them come around. It always felt like too much of a trade-off in customization. H2O has completely changed my perspective. The pre-sales process was wonderful with a demo period with regular support from their engineers and sales team. The dataset analytics gives me instant insights and confidence that I have not missed any glaring issues or data leakage. It also suggests all of the best log/exponential transformations for different columns in my data. The Driverless AI itself is incredible. It takes a huge amount of the tuning away from my hands. And I know it is implementing modeling best practices even better than I ever could with my own implementation in Python. The organization of model experiments and projects is a game-changer for production and iterations. The ML Ops model deployment is also so easy and powerful to use. I no longer have to worry about how to deploy a model into production. I just host it on an endpoint and then can either have applications request scores from it for single requests or batch score my model every night and save it into our database. Having it track data drift and other issues gives me more peace of mind that we are not having things go awry behind the scenes.

Its a easy to use software with good documentation available online.

H2O, as a whole, is a tremendous company. Being a Senior Data Scientist I find the entire stack unparalleled. The known pieces of using DriverlessAI; auto feature engineering, ease of deployment, high model ROC, PR, Log-Loss, etc... are well documented. The modeling is fantastic, but the customer service & documentation are what I believe to be the greatest asset. Other Data Scientists will agree that you can often end up stuck on a bug, feature transformation, deployment question, and the list goes on and on. We are forced to search StackOverflow & the internet as a whole sometimes for many hours trying to find an answer. With H2O's customer service you have another team of Data Scientists who have either had this identical problem, or have ran into something similar. Your time to solving your issue is vastly expedited. Sure, DriverlessAI is awesome, but having other expert Data Scientists to bounce bugs off of is what makes H2O special.