H2O is water, obviously. H20 is also the name for a piece of open source machine learning platform and big data analytics software. So then, H2O.ai is the Silicon Valley based startup firm that produces H20, the software, not the element.
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The loveable nerds at H2O claim to be devoting their existence on the planet to ‘operationalizing data science’ (Z left in, for effect) by developing and deploying algorithms and models for R, Python and the Sparkling Water API for the Apache Spark open source cluster computing framework.
Some of H2O’s mission critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance and (in the medical arena) areas like predicting sepsis and ICU monitoring.
So contextual preambles out of the way, what’s happening?
H2O.ai has announced the availability of Sparkling Water 2.0 and that means new features such as 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 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. Sparkling Water also allows for greater flexibility when it comes to finding the best algorithm for a given use case. Apache Spark’s MLlib offers a library of efficient implementations of popular algorithms directly built using Spark. Sparkling Water empowers enterprise customers to use H2O algorithms in conjunction with, or instead of, MLlib algorithms on Apache Spark,” said H2O.ai CEO Sri Ambati.
Sparkling Water 2.0 also delivers a new visualisation component to MLlib. H2O.ai has recently built out a team of data visualisation experts whose sole focus is to make AI and machine learning algorithms more easily consumable.
Ambati says that his firm is totally committed to the open source movement — everything the firm does will be contributed back upstream to the community codebase.