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.
