H2O Driverless AI Overview
H2O Driverless AI automates key machine learning tasks, enabling faster and more efficient project completion. Data scientists are empowered to focus on higher-level insights.
Use Cases
Customers recommend Workflow Management, Advertisement, Sending & Publishing Communications, as the business use cases that they have been most satisfied with while using H2O Driverless AI.
Business Priorities
Enhance Customer Relationships and Scale Best Practices are the most popular business priorities that customers and associates have achieved using H2O Driverless AI.
H2O Driverless AI Use-Cases and Business Priorities: Customer Satisfaction Data
H2O Driverless AI works with different mediums / channels such as Social Media.
H2O Driverless AI's features include Predictive Analytics, Gamification, Leaderboards, etc. and H2O Driverless AI support capabilities include Email Support, Chat Support, Phone Support, etc. also H2O Driverless AI analytics capabilities include Custom Reports, and Analytics.
Reviews
"...Data scientists can publish Python and R code as REST APIs and easily integrate with production applications...." Peer review
Peer review evidence (same sources as the product rating summary)
"...H2O.ai shines here for a few reasons: It streamlines the process for development into an intuitive workflow,Trains models faster than popular packages like sci-kit learn, andMakes moving a model into production far simpler with Java objectsIn short, H2O certainly delivers a fast and accessible machine learning platform for large datasets that is equipped with user-friendly and high-performing tools...." Blog: Artificial Intelligence Made Easy
"...They appear to bound to release planning and are reticent to release hot fixes for things that were advertised to just work...." Peer review by User
"...Originally published at H2O.aiLearn about the basics of ML and how H2O a Automatic ML is making these tools accessible to a wider community of people...." Machine Learning in the age of AutoML
H2O Driverless AI, CARTO Platform, Hevo, Hyland, Skyvia Platform, etc., all belong to a category of solutions that help Business Intelligence. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.
Popular Business Setting
for H2O Driverless AI
Top Industries
- Management Consulting
- Telecommunications
- Information Services
Popular in
- Small Business
- Mid Market
- Large Enterprise
H2O Driverless AI is popular in Management Consulting, Telecommunications, and Information Services and is widely used by Small Business, Mid Market, and Large Enterprise.
H2O Driverless AI Customer wins, Customer success stories, Case studies
How does H2O Driverless AI address your Workflow Management Challenges?
What Are the key features of H2O Driverless AI for Advertisement?
What makes H2O Driverless AI ideal for Sending & Publishing Communications?
Why is H2O Driverless AI the best choice for Onboarding?
What solutions does H2O Driverless AI provide for Collaboration?
11 buyers and buying teams have used Cuspera to assess how well H2O Driverless AI solved their Business Intelligence needs. Cuspera uses 1218 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Business Intelligence needs.
AT&T - Telecommunications - Very Large
H2O AI Super Agent Added by AT&T to Power Enterprise Agentic AI
AT&T - Telecommunications - Very Large
H2O AI Super Agent is Added by AT&T to Power Enterprise Agentic AI
Securing AI Systems at Scale: How H2O.ai Addresses Core Data Security Risks for Australian Government Agencies
Frequently Asked Questions (FAQ)
What buyers ask before choosing H2O Driverless AI
What is H2O Driverless AI?
H2O Driverless AI is an Automatic Machine Learning Platform that empowers data scientists to work on projects faster and more efficiently. It provides companies with an extensible customizable data science platform that addresses the needs of a variety of use cases for every enterprise in every industry.
It helps data scientists to extend the driverless AI platform by uploading their models, transformers and scorers as a custom recipe. Models are deployed automatically across several environment choices, provide robust interpretability of machine learning models to explain modeling results, also automatically generates visualizations and creates data plots that are most relevant from a statistical perspective.
Some of its features include treating recipes as first-class citizens in the automatic machine learning workflow, machine learning interpretability, automatically converts text strings into features using powerful techniques like TFIDF, CNN, and GRU, process larger text blocks and build models using all available data and to solve the business problems like sentiment analysis, document classification, and content tagging. Images can be processed alone or as part of larger datasets that include tabular, text, and image data on CPUs or GPUs and more.
What is H2O Driverless AI used for?
What are the top features of H2O Driverless AI?
Who uses H2O Driverless AI?
What are H2O Driverless AI alternatives?
Where is H2O Driverless AI located?
Peers used H2O Driverless AI for workflow management and advertisement
H2O Driverless AI Competitors
H2O Driverless AI Features
- Low
- Medium
- High
| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (396) |
| Custom Reports | Read Reviews (97) |
| Analytics | Read Reviews (271) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (396) |
| Custom Reports | Read Reviews (97) |
| Analytics | Read Reviews (271) |
Software Failure Risk Guidance
?for H2O Driverless AI
Overall Risk Meter
Top Failure Risks for H2O Driverless AI
H2O.ai, Inc News
Changes coming to H2O-3 open source
H2O.ai announces changes to its H2O-3 open-source platform with the upcoming 3.46.0.12 release. Key components like MOJO runtime, Hadoop, Kubernetes deployment, and SparklingWater will be moved to H2O-3 Secure, focusing on enterprise needs and security compliance. The open-source version will maintain core features like AutoML and algorithm libraries, emphasizing community support and security patching.
H2O ai Introduces Enterprise-Grade Secure Version of H2O-3 Platform
H2O.ai launched H2O-3 Secure, an enterprise-grade version of its open-source H2O-3 platform, enhancing security and compliance features for production environments. The platform targets sectors requiring stringent security certifications, offering CVE patching and long-term support. This move aims to monetize H2O.ai's open-source base by aligning with government-grade security standards and expanding into regulated industries.
H2O.ai Joins NVIDIA-Backed Open Security Alliance
H2O.ai has joined the NVIDIA-backed Open Secure AI Alliance to enhance AI security tools, focusing on open-source principles for AI agent stacks. The alliance aims to improve trust, governance, and control over AI systems by advancing open security technologies.
H2O.ai Joins Open Secure AI Alliance to Strengthen AI Software and ...
H2O.ai joins the Open Secure AI Alliance, collaborating with NVIDIA and others to enhance AI software security. This initiative aims to develop open technologies for securing AI agents, emphasizing open models for improved safety and control. H2O.ai's participation underscores its commitment to AI security and governance, aligning with industry leaders to advance secure AI deployments.
H2O.ai, Inc Profile
HQ Location
2307 Leghorn St Mountain View, CA 94043
Employees
11-50
Social
Financials
SERIES D
