Machine learning turns unstructured secondary storage into globally accessible data
Charles Darwin was rumored to have said something to the effect of “It’s not the strongest or smartest that survives. Rather it’s the species that’s the most adaptable to change.” This axiom has never been truer in the business world than it is today. Adapting to market trends has always been the difference between becoming a market leader and becoming irrelevant and disappearing from the business landscape. However, in today’s digital era, these market shifts happen much faster than before, putting pressure on CIOs to find a way to stay one step ahead of the competition.
Data is the key to uncovering transformational insights
The key to accomplishing that is data, since bad data leads to bad insights and good data leads to good insights. The problem for most organizations is that they may have a great data management strategy for primary storage, but their ability to find insights from secondary storage is often non-existent. Secondary storage is typically a mess, scattered everywhere, from branch offices to local servers. There are often multiple copies, with no one knowing which is the document of truth. All that creates massive storage fragmentation problems.