Overview

H2O Driverless AI is an award-winning automated machine learning (AutoML) platform that empowers organizations to build and deploy machine learning models with speed and transparency. By automating complex data science tasks—such as feature engineering, model tuning, and deployment—it enables both expert and novice data scientists to develop high-quality models ready for production. The platform leverages advanced algorithms and GPU acceleration to deliver high predictive accuracy in a fraction of the time traditionally required. Additionally, it provides comprehensive model interpretability and automatic documentation, ensuring that AI initiatives are both effective and understandable.

Features and Capabilities

• Automated Feature Engineering: Utilizes advanced algorithms to automatically generate and select the most relevant features from raw data, enhancing model performance.
• Model Selection and Tuning: Employs automated processes to select the best algorithms and tune hyperparameters, optimizing model accuracy.
• Model Stacking: Combines multiple models to improve predictive performance and robustness.
• GPU Acceleration: Supports NVIDIA GPUs to accelerate computation, achieving up to 40x speedups in model training and inference.
• Time Series Forecasting: Incorporates specialized techniques for accurate forecasting of time-dependent data.
• Model Interpretability: Provides tools to interpret model decisions, enhancing transparency and trust in AI outputs.
• Automatic Documentation: Generates comprehensive reports detailing model development processes and results.
• Deployment Flexibility: Offers multiple deployment options, including REST APIs, cloud services, and optimized Java code for edge devices.
• Scalability: Designed to scale across various environments, from on-premises to cloud infrastructures.
• Security and Compliance: Ensures secure model deployment with features like LDAP and Kerberos integration, supporting enterprise-grade compliance requirements.