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H2O.ai Advances H2O Driverless AI with New Time Series InnovationNEW YORK, June 7, 2018 /PRNewswire/ -- H2O World 2018 – H2O.ai, the open source leader in AI, today announced a new release of its award-winning automated machine learning platform H2O Driverless AI, with key enhancements that will enable organizations 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 organizations 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. "Time series is all-pervasive. It is not only one of the fastest growing classes of data but also one particularly well-suited for machine learning. Our latest recipes in Driverless AI automate predictions on time series for demand and inventory forecasting for retail stores, tick level predictions in capital markets and electronic trading, greener manufacturing by optimizing supply chains and securing our world with sensor data from IoT," said Sri Ambati, CEO and founder at H2O.ai. "Our mission to democratize machine learning – to make it accessible to every enterprise unable to access the highly sought after talent in data science – is one step closer." Time Series Helps Forecast Sales, Predict Industrial Machine Failure and More
In addition to the ew time series support, H2O.ai has also added the following to H2O Driverless AI:
H2O Driverless AI empowers data scientists or data analysts to work on projects faster and more efficiently by using automation and state-of-the-art computing power to accomplish tasks that can take humans months in just minutes or hours by delivering automatic feature engineering, model validation, model tuning, model selection and deployment, machine learning interpretability, time-series and automatic pipeline generation for model scoring. Also today, H2O.ai announced a strategic global partnership with IBM, focused on combining IBM Power Systems and H2O Driverless AI to address the AI demands of enterprises. Read more about this partnership and joint solution: https://www.h2o.ai/company/news/IBM-and-H2Oai-partnership-aims-to-accelerate-adoption-of-ai-in-the-enterprise From the Source: Live Stream of H2O World NYC The entire event will be live streamed starting at 9:00am ET. You can follow the day-of livestream here: https://www.h2o.ai Connect with H2O.ai
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