H2O.ai

H2O Driverless AI is an automatic machine learning platform that uses AI to do AI to empower data science teams to scale and implement their AI strategy. H2O Driverless AI enables enterprises to leverage automatic machine learning and process massive amounts of proprietary data efficiently and ensure that anyone who needs access has access to automatic machine learning.

AutoVis—Exploratory data analysis: Automatically selects data plots based on the most relevant data statistics to help users understand their data prior to the model building process. It provides recommendations for transformations to address the problems identified.  

Automatic feature engineering and model building feature engineering: Employs a library of algorithms and feature transformations to automatically engineer new, high-value features for a given data set.  

Machine Learning Interpretability (MLI): Provides detailed insights enabling data science teams to explain and justify their models to business stakeholders and regulators.

Automatic reason codes: In many business situations, an explanation is required for significant decisions—reason provide insights into model decisions that can drive additional testing or investigation.  

Automatic Model Documentation (Auto Doc): Automatic Model Documentation relieves the user from the time-consuming task of documenting and summarizing their workflow while building machine learning models.  

Automatic scoring pipelines: Automatically generates both Python scoring and Java ultra-low latency, automatic scoring pipelines enable ultra-fast scoring for real-time applications running on a range of devices.  

Enterprise-ready: H2O Driverless AI is scalable, secure, and connects to a variety of data sources whether in the cloud or on-premises. H2O.ai are the experts in data science at scale. Driverless AI customers enjoy a full range of support, training, and expertise to assist them with their AI journey.