Big data stewardship, mobility build a foundation for machine learning - SiliconANGLE

When it comes to business, machine learning is a powerful and disruptive technology, thanks to its ability to learn from and teach itself with vast amounts of "internet of things" data sourced from employee and manufacturing devices like laptops, equipment sensors and shipment trackers. But this type of cognitive computing couldn't happen without emerging tools from open-source efforts, like Hadoop's data management platform. "What we're finding is Hadoop and the big data space are uniquely positioned to solve these problems, both from quality control and process and management. You can get better uptime, better quality," said Gus Horn (pictured), global consulting engineer of big data analytics and chief technology officer ambassador at NetApp Inc. Horn spoke with John Furrier (@furrier) and Jim Kobielus (@jameskobielus), co-hosts of theCUBE, SiliconANGLE's mobile livestreaming studio, during the recent BigData NYC event in New York. Horn talked about data stewardship, machine learning and the role of cloud computing in these emerging tech trends.