H2O.ai, the open source AI company, has released a new version of its automated machine learning platform H2O Driverless AI, with enhancements that it says will enable organisations to expand their current AI strategy and improve accuracy of predictive datasets.
The latest innovations in Driverless AI include time series support aimed at improving predictions within transactional datasets and auto documentation, as well as updated AutoViz, Machine Learning Interpretability (MLI) and Automatic Pipelines.
With the time series capability in Driverless AI, H2O.ai directly addresses some of the most pressing concerns of organisations across industries for use cases such as transactional data in capital markets, tracking in-store and online sales in retail, and using sensor data to improve supply chain or predictive maintenance in manufacturing.
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