There’s been a lot of talk about systems of intelligence and what that means both now and in the future. With “Hadoop 2.0 to Big Data 3.0,” George Gilbert, Big Data & analytics analyst for Wikibon and theCUBE, from the SiliconANGLE Media team, gave a special presentation on systems of intelligence, sharing his insight and enlightening BigDataNYC 2015 attendees about what he sees coming down the pike.

From the past to now

According to Gilbert, systems of record have dominated “the last 50 years.” The analytics from these systems were often hardwired into the original framework from which they were built. This rigidity in application platform created a situation where agility was low – new reports and analytics not originally thought of during initial implementation take a great deal of time to produce (low agility) as a result of the need to basically start from the beginning.

Going forward, in Gilbert’s view, would be an automated feedback system where systems of intelligence using pipelines can deliver new visualizations without the need to start from the ground up. This is exemplified by platforms like Spark, but that’s still in the Hadoop 2.0 vision that Gilbert sees.

Big Data 3.0 – the future?

The future commands more, and Gilbert doesn’t hesitate to deliver on what he thinks will occur. He noted that currently “operations and development is a mess and needs to be cleaned up” and that platforms like Spark are helping to do just that. However, he thinks that the most dominant players will be true software companies that deliver the entire customer experience rather than the enterprise who currently holds the burden. This would suggest that players like Azure, Amazon Web Services, Pivotal and Google Web Platforms would be playing the largest role in the space as they provide the greatest ease of operation at the lowest cost.

Watch the full video presentation below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataNYC 2015.

Photo by SiliconANGLE