Overview
Product Information on H2O AI Cloud
What is H2O AI Cloud?
H2O AI Cloud Pricing
Overall experience with H2O AI Cloud
“H2O.ai - The powerful and generative AI”
“Overall a decent product for the price paid but lacks features but developing fast.”
About Company
Company Description
H2O.ai is concentrated on democratizing artificial intelligence (AI). The main business issue that the organization resolves is the complexity of developing, operating, and innovating AI solutions to address specific business concerns swiftly, thereby expediting the generation of novel concepts. To tackle this, H2O.ai has created H2O Agentic AI and H2O AI Cloud, platforms utilized by organizations globally to simplify AI processes. Not only private sectors but also public and academic organizations trust this organization to fast-track their AI initiatives. H2O.ai is equally committed to promoting Responsible AI and nurturing a strong AI for Good ethos, easing the application and ethical implementation of AI solutions.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: H2O AI Cloud
Deciding Factors: H2O AI Cloud Vs. Market Average
Performance of H2O AI Cloud Across Market Features
H2O AI Cloud Likes & Dislikes
1-Its multi language capability offers wide access of data professionals 2-Algorithms can be seamlessly added 3-It allows quick model building and training
Read Full ReviewThey help to build a quick go-to-market model. The insights from the model are pretty helpful and help to make a decision effectively. The deployment also is seamless.
Read Full ReviewH2O.ai provides one of the best in class no code environment for data scientists. Its highly optimized to build complex machine learning models. The variety of transformations h2O provides is unmatched among peers. We have freedom to plug-in any kind of possible transformation with just hit of few clicks. WHich used to take lot of effort earlier to code and process. The leaderboard functionality to compare multiple machine learning models is wonderful and provides holistic view of performance metrices. The thing I like most about H2O is that it provides a drag and drop Machine learning environment without snatching freedom of exploration from data scientists.
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The UI looks cumbersome. The models developed outside of H2O are usually better than the DAI model. It still lacks customization and data manipulation and feature engineering capability.
Read Full ReviewThe H2O MLOps platform lacks multiple features that are required to be added for a day to day monitoring of machine learning models. I have provided feedbacks to the H2O team, they are working on those. Sometimes support team takes more than expected time to debug the issues and give resolution. There are some limitations to various algorithms like some algorithm allows deployment through only Python Pipeline, and some don't allow shaply integration etc.
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Peer Discussions
H2O AI Cloud Reviews and Ratings
- QUALITY ASSURANCE OFFICER<50M USDBankingReview Source
H2O.ai - The powerful and generative AI
Overall, h2o.ai leads you towards insightful discoveries - DATA AND ANALYTICS MANAGER10B+ USDBankingReview Source
H2O.ai- One of the best in class drag and drop tool for data scientists
Overall I had a very good experience working on H2O.ai, It is a boon to data scientists who used to spend most of their time writing codes. Now with help of h2o, data scientists can focus on building the best possible model. - CONSULTANT10B+ USDBankingReview Source
Major Platform in DS-ML space
H2O is really a powerful platform that allows building large ML models. Its a complete AI cloud that facilitates all - data exploration, modelling and MLOps and deployment. It can connect with various data platforms, also supports varieties of data formats. - MANAGER50M-1B USDBankingReview Source
A No code Time-saver tool for Data Scientists to build good ML models with lot of freedom
I am using H2O DAI capabilities for building machine learning models. It helps me optimize my time to end-to-end model building including transformations, trying various ML models and also gives me flexibility for cross validation etc. H2O support team is also helping us to fine-tune our on-premise models built earlier - Senior Data Scientist50M-1B USDInsurance (except health)Review Source
Great AutoML tool
The products are good despite there are constantly some issues having it deployed on GCP (it's not only a H2O problem, but also GCP's).