Can you apply machine learning to machine learning? #SparkSummit

As the Spark Summit 2016 event continues in San Francisco this week, attendees are getting to learn about the latest uses for Spark in the tech world, as well as getting exclusive glimpses of its effect on future developments. Christopher Cuong T. Nguyen, cofounder and CEO of Arimo, Inc., joined cohosts John Walls and George Gilbert (@ggilbert41) of theCUBE, from the SiliconANGLE Media team, during Spark Summit to discuss what his company is doing with Spark to create more effective and powerful work environments, along with the importance of keeping things accessible for all users. Nguyen, who described himself as "a very early adopter of Spark," was confident in his company's investment in Spark, saying, "If you are familiar with technology evolution, and then you understand architecture, and you have a sense of timing, then [an investment in Spark is] actually not a very risky bet." He also provided a deeper look at their motivations for using Spark specifically. "The information asymmetry that we had looking at Spark is that we looked at a whole bunch of different compute architectures, specifically in memory, and … we knew that what had to happen is that you need to have what's called a distributed dataset that exists outside of the compute cycle," he said.