We live in a world where we are constantly in contact with Artificial Intelligence, perhaps without even being aware. We live in a world where we are constantly in contact with Artificial Intelligence, perhaps without even being aware. It may not seem that way due to the stigma that Hollywood has put into our mind about what exactly Artificial Intelligence is (killer robots, omniscient software, etc.) but it's really a lot simpler than that. John McCarthy (2007) defined Artificial Intelligence as the science and engineering of making intelligent [having the computational ability to achieve goals in the world] machines. Right now, the main way in which these machines "learn" is through rote learning (trail and error) and drawing inferences. It is widely believed that "AI [artificial intelligence] will drive the human race" (Prime Minister Navendra Modi) and there is not true evidence for or against the contrary, but it is widely accepted that A.I. does and will have a extreme influence on day to day life.

Apache Spark (click here) is a general engine for large-scale analytical data processing which includes a powerful Machine Learning Engine (MLE). The GridGain in-memory computing platform (click here), built on Apache Ignite (to visit: click here), includes a comprehensive set of computing solutions including a data grid, compute grid, SQL grid, streaming, and acceleration solutions for Hadoop and Spark. GridGain and Spark are both in-memory computing solutions but they target different use cases. In many cases, they can be used together to achieve superior machine learning performance and functionality. GridGain can distribute and cache data in RAM across multiple servers to deliver unprecedented processing speed and massive application scalability.