Remove the upfront hurdles of adopting AI in your organization
Data science simplified
H2O Driverless AI removes many of the significant barriers that prevent organizations from adopting machine learning, performing the function of an expert data scientist and adding more power to both novice and expert teams.
H2O Driverless AI is most powerful when run on IBM Power Systems, which are capable of supporting the intense data processing and memory requirements of these workloads.
Feature engineering, model tuning and visualization are handled automatically by the software
Cut training time from months to hours with automated feature engineering
Secured with LDAP and Kerberos and scalable to work with enterprise data sources
Ensure your data insights are bulletproof with concise and understandable explanations of decisions and automatic documentation
H2O running on IBM Power Systems enables enterprises to leverage the best of breed software on the best hardware to get the most value of their data.
Some of H2O’s mission critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance, predicting sepsis, ICU monitoring and more.
Driverless technology removes the need to do extensive and costly feature engineering upfront, in addition to automating model validation and tuning. H2O.ai serves a network of over 200,000 data scientists with its open-source machine learning platform.