H2O.ai Melds Machine Learning with Spark, Via Sparkling Water 2.0 by - Jul. 01, 2016 The Renaissance Continues for Open Source Artificial Intelligence Baidu Delivers a Hardened Open Source Deep Learning Tool Google Launches a Slew of Open Source Parsers, to Work with 40 Languages IBM's Massive Spark Initiatives Include an Offering for Data Scientists In recent interviews here on OStatic, found here and here, we have explored the efforts of H2O.ai, formerly known as Oxdata, which has steadily been carving out a niche with its open source software for big data analysis and machine learning. You can get the main H2O platform and Sparkling Water, a package that works with Apache Spark, by simply downloading them. You can run them on clusters powered by Amazon Web Services (AWS) and others for just a few hundred dollars, putting powerful artificial intelligence muscle in reach of everyone. Now, H2O.ai has announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the popularity of Sparkling Water, H2O.ai's API for Apache Spark, with additional features and functionality.

H2O.ai Melds Machine Learning with Spark, Via Sparkling Water 2.0 by - Jul. 01, 2016 The Renaissance Continues for Open Source Artificial Intelligence Baidu Delivers a Hardened Open Source Deep Learning Tool Google Launches a Slew of Open Source Parsers, to Work with 40 Languages IBM's Massive Spark Initiatives Include an Offering for Data Scientists Google's Custom Chip Can Accelerate Machine Learning Jobs In recent interviews here on OStatic, found here and here, we have explored the efforts of H2O.ai, formerly known as Oxdata, which has steadily been carving out a niche with its open source software for big data analysis and machine learning. You can get the main H2O platform and Sparkling Water, a package that works with Apache Spark, by simply downloading them. You can run them on clusters powered by Amazon Web Services (AWS) and others for just a few hundred dollars, putting powerful artificial intelligence muscle in reach of everyone. Now, H2O.ai has announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the popularity of Sparkling Water, H2O.ai's API for Apache Spark, with additional features and functionality.

According to the official statement, "Sparkling Water was designed to allow users to get the best of Apache Spark -- its elegant APIs, RDDs and multi-tenant Context -- along with H2O's speed, columnar-compression and fully-featured machine learning algorithms." Plus, this newly updated tool empowers enterprise customers to use H2O algorithms in conjunction with, or instead of, MLlib algorithms on Apache Spark. Matt Aslett, Research Director, Data Platforms and Analytics at 451 Research forecasted that Sparkling Water could attract both Spark and H2O users, helping them to mix and match algorithms as needed. Enterprises are looking to take advantage of a variety of machine learning algorithms to address an increasingly complex set of use cases when determining how to best serve their customers. H2O.ai updates Sparkling Water machine learning API for Apache Spark https://t.co/ZWEYFoi4a6

Finding insight in oceans of data is one of enterprises' most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within closer reach. Announced on Friday, Sparkling Water 2.0 is a major new update from H2O.ai that's designed to make it easier for companies using Spark to bring machine-learning algorithms into their analyses. It's essentially an API (application programming interface) that lets Spark users tap H2O's open-source artificial-intelligence platform instead of -- or alongside -- the algorithms included in Spark's own MLlib machine-learning library. Among the highlights of the new software is the ability to run Spark and Scala through H2O's Flow user interface.

In recent interviews here on OStatic, found here and here, we have explored the efforts of H2O.ai, formerly known as Oxdata, which has steadily been carving out a niche with its open source software for big data analysis and machine learning. You can get the main H2O platform and Sparkling Water, a package that works with Apache Spark, by simply downloading them. You can run them on clusters powered by Amazon Web Services (AWS) and others for just a few hundred dollars, putting powerful artificial intelligence muscle in reach of everyone. Now, H2O.ai has announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the popularity of Sparkling Water, H2O.ai's API for Apache Spark, with additional features and functionality.

Finding insight in oceans of data is one of enterprises' most pressing challenges, and increasingly artificial intelligence is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within closer reach. Announced Friday, Sparkling Water 2.0 is a major new update from H2O.ai that's designed to make it easier for companies using Spark to bring machine-learning algorithms into their analyses. It's essentially an API (application programming interface) that lets Spark users tap H2O's open-source artificial-intelligence platform instead of -- or alongside -- the algorithms included in Spark's own MLlib machine-learning library. Among the highlights of the new software is the ability to run Spark and Scala through H2O's Flow user interface.

Finding insight in oceans of data is one of enterprises' most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within closer reach. Announced on Friday, Sparkling Water 2.0 is a major new update from H2O.ai that's designed to make it easier for companies using Spark to bring machine-learning algorithms into their analyses. It's essentially an API (application programming interface) that lets Spark users tap H2O's open-source artificial-intelligence platform instead of -- or alongside -- the algorithms included in Spark's own MLlib machine-learning library. Among the highlights of the new software is the ability to run Spark and Scala through H2O's Flow user interface.

MOUNTAIN VIEW, CA–(Marketwired – July 01, 2016) – H2O.ai, the company bringing AI to business, today announced the availability of Sparkling Water 2.0. Sparkling Water 2.0 builds off the enormous popularity of Sparkling Water, H2O.ai's API for Apache Spark, with additional features and functionality. New features include the ability to interface with Apache Spark, Scala and MLlib via H2O.ai's Flow UI, build ensembles using algorithms from both H2O and MLlib and give Spark users the power of H2O's visual intelligence capabilities. Sparkling Water was designed to allow users to get the best of Apache Spark -- its elegant APIs, RDDs and multi-tenant Context -- along with H2O's speed, columnar-compression and fully-featured machine learning algorithms.