H2O Driverless AI

Democratizing AI with Automated Machine Learning

4.5 2 Reviews
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H2O Driverless AI is a machine learning automation platform that aims to create and train machine learning models without requiring pro-level expertise from the users. The platform is designed to keep corporate users in mind who want to prepare data, calibrate different parameters, and define the optimal algorithms for dealing with their industry-specific problems related to machine learning. 
H2O.ai
2012
United States
1 Industry
1 Language
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LICENSING & DEPLOYMENT

  • Proprietary
  • Cloud Hosted
  • On Premises
  • Web-based
  • Windows
  • Mac
  • Linux

SUPPORT

  • Phone
  • 24x7 Support

Knowledge Base

  • Help Guides
  • Video
  • Blog

H2O Driverless AI Core Features

Artificial Intelligence

  • Data Ingestion
  • Decision Making
  • Multi-Language
  • Predictive Analytics
  • Workflow Automation

Database Management

  • Backup & Recovery
  • Data Migration
  • Data Replication
  • Data Security
  • Data Storage
  • Performance Analysis

Data Management

  • Customer Data
  • Data Analysis
  • Data Capture & Transfer
  • Data Integration
  • Data Migration
  • Data Quality Control
  • Data Security

Generative AI

  • Compliance, Security and Privacy
  • Customization and Control
  • Data Generation
  • Documentation and Support
  • Evaluation and Validation
  • Integration and Deployment
  • Model Training and Development
  • Prompt Engineering

H2O Driverless AI Pricing

Pricing Type

  • Contact Vendor

Preferred Currency

  • USD ($)

Free Version

  • No

Payment Frequency

  • Quote Based

H2O Driverless AI Reviews

4.5 2 Reviews
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Rajesh Namase

H2O AI has increased speed and accuracy in analyzing large amounts of complex data quickly and efficiently

Rating Breakdown

  • Ease of Use
  • Features
  • Customer Support
  • Overall Rating

Review Summary

We TechRT have been using H2O AI for around 2 years, twice a week. One of the greatest advantages of using H2O AI for businesses is its ability to improve predictive analytics. With this technology, organizations are able to uncover relationships between variables based on historical data, allowing them to better anticipate future trends and outcomes. This allows them to be proactive rather than reactive when it comes to decision-making processes, resulting in more accurate predictions and significantly improved results. Also, it can be easily navigated by beginners because of its drag-and-drop capabilities. Its open-source feature allows users to access pre-built models and connect with other tools that are necessary for the projects. Furthermore, since H2O AI relies heavily on algorithms and automation, there may be instances where results may lack accuracy due to faulty analysis or misinterpretation of the machine learning model.

How frequently you use H2O Driverless AI?

Daily

Alex Contes

Everyone can benefit from this free and open-source machine learning platform

Rating Breakdown

  • Ease of Use
  • Features
  • Customer Support
  • Overall Rating

Review Summary

My company Review Grower uses H2O.AI, which is, in my opinion, the best AI software available. Financial services, medical care, advertising, and telecommunications all benefit from H2O AI. To create models, you can use this instrument in conjunction with languages like R and Python. It's a plus that you get helpful guidance and instructions for using it. And there is room for improvement in the corresponding documentation.

How frequently you use H2O Driverless AI?

Daily

Resources

The Internet of Things : Things Matter Now

8 Key Considerations for AI in the Enterprise
View eBook
Six Success Factors for Getting Started with Machine Learning Across Your Enterprise
View eBook
An Introduction to Machine Learning Interpretability Second Edition
View eBook
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