Imanis Data leverages machine learning to address enterprise fragmentation - SiliconANGLE

Data may be driving today's enterprise, but the engine is only using a fraction of its horsepower. A recent information technology study by Cohesity Inc. found that a significant majority -- approximately 80 percent -- of an organization's data is not mission critical. It's languishing in backups, object stores and archives scattered across public and private clouds. The result is data fragmentation, a growing issue within the IT community that involves the spread of information into infrastructure silos, preventing a business from realizing the true value of the data it owns. "We've always had data fragmentation, but it's becoming worse," said Zeus Kerravala (pictured, left), founder and principal analyst at ZK Research, a division of Kerravala Consulting Inc. "It's hampering a company's ability to make critical decisions to be able to move fast and keep up with a lot of cloud-native counterparts. If they don't get a handle on this, they're going to fall further and further behind."