Many enterprises are concerned that they won’t have the ability to keep all their potentially valuable data assets available, organized, and protected as information volumes continue to explode. With companies exposing their machine learning models to different or new data to support their evolution, they come face to face with the need for prioritizing information. DATAVERSITY brought this interesting topic to our attention in their article, “The Future of Data Storage.”
It seems what they are looking for is not more storage, but smarter storage. What all afflicted parties should be able to draw upon to realize those goals is intelligent next-generation data storage technology that adds intelligence and analytics to the software stack to deliver self-managing and efficiently scalable environments.
In the best of all possible worlds, the data itself should be smart enough to know how it should be used, who or what will use it, how long it should live and if it has any practical usefulness beyond its immediate application.
But until we can build that kind of intelligence into the data, even a potentially efficient operation like flat backup is essentially a blind process.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
