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Democratizing AI with Automated Machine Learning

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
  • Information-technology-services
1 Industry
  • English
1 Language
Industries
  • Information-technology-services
Licensing & Deployment
  • Proprietary
  • Cloud Hosted
  • On Premises
  • Web-based
  • Windows
  • Mac
  • Linux
Support
  • Phone
  • 24x7 Support
Knowledge Base
  • Help Guides
  • Video
  • Blog

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H2O Driverless AI
H2O Driverless AI

H2O Driverless AI Core Features

Focus of Artificial Intelligence Feature
  • Data Ingestion
  • Decision Making
  • Multi-Language
  • Predictive Analytics
  • Workflow Automation
Focus of Database Management Feature
  • Backup & Recovery
  • Data Migration
  • Data Replication
  • Data Security
  • Data Storage
  • Performance Analysis
Focus of Data Management Feature
  • Customer Data
  • Data Analysis
  • Data Capture & Transfer
  • Data Integration
  • Data Migration
  • Data Quality Control
  • Data Security
Focus of Generative AI Feature
  • 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
Vendor pricing page

H2O Driverless AI Reviews

4.5 2 Reviews
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  • Most Recent
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Rajesh Namase

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

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

Rating Breakdown

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

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

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

Rating Breakdown

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

H2O Driverless AI Resources

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